{"title":"Artificial Intelligence (Ai)","description":"\u003cp\u003eExplore the future with our curated collection of Artificial Intelligence Books at Bookshelf.pk, Pakistan’s trusted online bookstore. From beginner guides to advanced Machine Learning, Neural Networks, Agentic AI, and AI research, discover titles that make complex concepts simple and practical. Perfect for students, tech enthusiasts, and professionals, each book is digitally printed for top quality and readability.\u003cbr\u003eOrder AI books online in Pakistan today and enjoy quality at affordable prices, along with reliable service from Bookshelf.pk.\u003c\/p\u003e","products":[{"product_id":"deep-learning-with-python-by-francois-chollet","title":"Deep Learning with Python, Third Edition by Francois Chollet","description":"\u003ch2\u003eQuality Information\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePaper Quality: 70 gsm White (Excellent)\u003c\/li\u003e\n\u003cli\u003eCover Quality: 260 gsm card\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003cbr\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAbout This Book\u003c\/h2\u003e\n\u003cp\u003eDeep Learning with Python, Third Edition is a modern guide to artificial intelligence and deep learning written by Keras creator François Chollet. This updated edition introduces the latest tools shaping today’s AI landscape, including generative AI, Keras 3, TensorFlow, PyTorch, and JAX. Designed for learners with Python knowledge, the book explains complex deep learning concepts through practical examples, clear explanations, and real-world coding projects.\u003c\/p\u003e\n\u003ch2\u003eWhy You’ll Love This Book\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eLearn deep learning from the ground up with clear explanations.\u003c\/li\u003e\n\u003cli\u003eExplore the newest AI technologies, including Large Language Models and generative AI.\u003c\/li\u003e\n\u003cli\u003eBuild text and image generation models, including GPT-style systems.\u003c\/li\u003e\n\u003cli\u003eHands-on projects and code examples improve practical understanding.\u003c\/li\u003e\n\u003cli\u003eCovers Keras, TensorFlow, PyTorch, and JAX in one comprehensive guide.\u003c\/li\u003e\n\u003cli\u003eSuitable for developers and AI enthusiasts in Pakistan looking to grow in machine learning.\u003c\/li\u003e\n\u003cli\u003eWritten by one of the leading experts behind Keras and modern AI development.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFull Description\u003c\/h2\u003e\n\u003cp\u003eDeep Learning with Python, Third Edition, delivers a complete and practical introduction to modern artificial intelligence using Python. Fully updated for today’s AI era, this edition covers generative AI, transformers, Large Language Models, and the latest improvements in Keras 3, TensorFlow, PyTorch, and JAX.\u003c\/p\u003e\n\u003cp\u003eWritten by François Chollet, creator of Keras, this book takes a hands-on approach to learning. Readers discover core machine learning concepts, neural networks, image classification, text generation, time series forecasting, and advanced deep learning workflows through step-by-step coding examples.\u003c\/p\u003e\n\u003cp\u003eWhether you want to understand AI fundamentals or build powerful models for text and image generation, this book provides practical guidance without overwhelming theory. It is ideal for developers, programmers, and machine learning learners seeking reliable, industry-relevant knowledge.\u003c\/p\u003e\n\u003cp\u003eFor readers in Pakistan interested in AI careers, Python programming, or deep learning projects, this trusted bestseller offers a strong foundation and updated knowledge aligned with today’s fast-moving technology landscape.\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":47053924172098,"sku":"","price":1970.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/DeepLearningwithPython_ThirdEditionbyFrancoisChollet-Bookshelf.pkPakistan.webp?v=1779089735"},{"product_id":"ai-and-machine-learning-for-coders-by-laurence-moroney","title":"AI and Machine Learning for Coders by Laurence Moroney","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e \u003c\/p\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eIf you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou'll learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to build models with TensorFlow using skills that employers desire\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe basics of machine learning by working with code samples\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to implement computer vision, including feature detection in images\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to use NLP to tokenize and sequence words and sentences\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMethods for embedding models in Android and iOS\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to serve models over the web and in the cloud with TensorFlow Serving\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":47053996622146,"sku":"","price":1150.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/ai-and-machine-learning-for-coders-by-laurence-moroney-bookshelfpk-pakistan-7662358.jpg?v=1763057879"},{"product_id":"mathematics-for-machine-learning-by-marc-peter-deisenroth","title":"Mathematics for Machine Learning by Marc Peter Deisenroth","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e \u003c\/p\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":47054100234562,"sku":"","price":1230.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/mathematics-for-machine-learning-by-marc-peter-deisenroth-bookshelfpk-pakistan-3395288.jpg?v=1763058158"},{"product_id":"natural-language-processing-with-transformers-by-lewis-tunstall","title":"Natural Language Processing with Transformers by Lewis Tunstall","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eSince their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTransformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn how transformers can be used for cross-lingual transfer learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply transformers in real-world scenarios where labeled data is scarce\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantization\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":47428351623490,"sku":"","price":1150.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/natural-language-processing-with-transformers-by-lewis-tunstall-bookshelfpk-pakistan-6904767.jpg?v=1763057810"},{"product_id":"practical-recommender-systems-by-kim-falk","title":"Practical Recommender Systems by Kim Falk","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eOnline recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application!\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Technology\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eRecommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions. Recommender systems are practically a necessity for keeping your site content current, useful, and interesting to your visitors.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Book\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-italic\"\u003ePractical Recommender Systems\u003c\/span\u003e explains how recommender systems work and shows how to create and apply them for your site. After covering the basics, you'll see how to collect user data and produce personalized recommendations. You'll learn how to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, the book covers scaling problems and other issues you'll encounter as your site grows.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's inside\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to collect and understand user behavior\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCollaborative and content-based filtering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMachine learning algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eReal-world examples in Python\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Reader\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eReaders need intermediate programming and database skills.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Author\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eKim Falk\u003c\/span\u003e is an experienced data scientist who works daily with machine learning and recommender systems.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eTable of Contents\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003col class=\"a-ordered-list a-vertical\"\u003e\n\u003cli\u003e\n\u003ch4\u003e\u003cspan\u003ePART 1 - GETTING READY FOR RECOMMENDER SYSTEMS\u003c\/span\u003e\u003c\/h4\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhat is a recommender?\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUser behavior and how to collect it\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMonitoring the system\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eRatings and how to calculate them\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eNon-personalized recommendations\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe user (and content) who came in from the cold\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ch4\u003e\u003cspan\u003ePART 2 - RECOMMENDER ALGORITHMS\u003c\/span\u003e\u003c\/h4\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFinding similarities among users and among content\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCollaborative filtering in the neighborhood\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eEvaluating and testing your recommender\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eContent-based filtering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFinding hidden genres with matrix factorization\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTaking the best of all algorithms: implementing hybrid recommenders\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eRanking and learning to rank\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFuture of recommender systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":47428849598786,"sku":"","price":1100.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/practical-recommender-systems-by-kim-falk-bookshelfpk-pakistan-6918147.jpg?v=1763057986"},{"product_id":"hands-on-reinforcement-learning-with-python-by-sudharsan-ravichandiran","title":"Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eA hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eKey Features:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eYour entry point into the world of artificial intelligence using the power of Python\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAn example-rich guide to master various RL and DRL algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore various state-of-the-art architectures along with math\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eReinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBy the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eWhat You Will Learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand the basics of reinforcement learning methods, algorithms, and elements\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTrain an agent to walk using OpenAI Gym and Tensorflow\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand the Markov Decision Process, Bellman's optimality, and TD learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSolve multi-armed-bandit problems using various algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMaster deep learning algorithms, such as RNN, LSTM, and CNN with applications\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild intelligent agents using the DRQN algorithm to play the Doom game\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTeach agents to play the Lunar Lander game using DDPG\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTrain an agent to win a car racing game using dueling DQN\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eWho this book is for:\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIf you're a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book.\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":48196717904194,"sku":"","price":970.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/hands-on-reinforcement-learning-with-python-by-sudharsan-ravichandiran-bookshelfpk-pakistan-9426384.jpg?v=1763057532"},{"product_id":"hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems-3rd-edition","title":"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems - 3rd Edition","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eThrough a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse Scikit-learn to track an example ML project end to end\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore several models, including support vector machines, decision trees, random forests, and ensemble methods\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!----\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49609612656962,"sku":"","price":2390.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems-3rd-edition-bookshelfpk-pakistan-4215422.jpg?v=1763058813"},{"product_id":"deep-learning-adaptive-computation-and-machine-learning-series-by-ian-goodfellow","title":"Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\"\u003eAn introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e“Written by three experts in the field, \u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eDeep Learning\u003c\/span\u003e\u003cspan\u003e is the only comprehensive book on the subject.”\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e—Elon Musk\u003c\/span\u003e\u003cspan\u003e, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eDeep Learning\u003c\/span\u003e\u003cspan\u003e can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49898001891650,"sku":"","price":2260.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/deep-learning-adaptive-computation-and-machine-learning-series-by-ian-goodfellow-bookshelfpk-pakistan-7296982.jpg?v=1763058811"},{"product_id":"build-a-large-language-model-from-scratch-by-sebastian-raschka","title":"Build a Large Language Model (From Scratch) by Sebastian Raschka","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eLearn how to create, train, and tweak large language models (LLMs) by building one from the ground up!\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003eIn \u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eBuild a Large Language Model (from Scratch)\u003c\/span\u003e\u003cspan\u003e bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eBuild a Large Language Model (from Scratch)\u003c\/span\u003e\u003cspan\u003e teaches you how to:\u003cbr\u003e\u003cbr\u003e• Plan and code all the parts of an LLM\u003cbr\u003e• Prepare a dataset suitable for LLM training\u003cbr\u003e• Fine-tune LLMs for text classification and with your own data\u003cbr\u003e• Use human feedback to ensure your LLM follows instructions\u003cbr\u003e• Load pretrained weights into an LLM\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eBuild a Large Language Model (from Scratch)\u003c\/span\u003e\u003cspan\u003e takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the technology\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003ePhysicist Richard P. Feynman reportedly said, “I don’t understand anything I can’t build.” Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the book\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eBuild a Large Language Model (From Scratch)\u003c\/span\u003e\u003cspan\u003e is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself!\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's inside\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003e• Plan and code an LLM comparable to GPT-2\u003cbr\u003e• Load pretrained weights\u003cbr\u003e• Construct a complete training pipeline\u003cbr\u003e• Fine-tune your LLM for text classification\u003cbr\u003e• Develop LLMs that follow human instructions\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the reader\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003eReaders need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the author\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eSebastian Raschka\u003c\/span\u003e\u003cspan\u003e is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.\u003cbr\u003e\u003cbr\u003eThe technical editor on this book was \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eDavid Caswell\u003c\/span\u003e\u003cspan\u003e.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eTable of Contents\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003e1 Understanding large language models\u003cbr\u003e2 Working with text data\u003cbr\u003e3 Coding attention mechanisms\u003cbr\u003e4 Implementing a GPT model from scratch to generate text\u003cbr\u003e5 Pretraining on unlabeled data\u003cbr\u003e6 Fine-tuning for classification\u003cbr\u003e7 Fine-tuning to follow instructions\u003cbr\u003eA Introduction to PyTorch\u003cbr\u003eB References and further reading\u003cbr\u003eC Exercise solutions\u003cbr\u003eD Adding bells and whistles to the training loop\u003cbr\u003eE Parameter-efficient fine-tuning with LoRA\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49898028925250,"sku":"","price":1130.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/build-a-large-language-model-from-scratch-by-sebastian-raschka-bookshelfpk-pakistan-8937535.jpg?v=1763059508"},{"product_id":"machine-learning-engineering-in-action-by-ben-wilson","title":"Machine Learning Engineering in Action by Ben Wilson","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eField-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production.\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003eIn \u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eMachine Learning Engineering in Action\u003c\/span\u003e\u003cspan\u003e, you will learn:\u003cbr\u003e\u003cbr\u003eEvaluating data science problems to find the most effective solution\u003cbr\u003eScoping a machine learning project for usage expectations and budget\u003cbr\u003eProcess techniques that minimize wasted effort and speed up production\u003cbr\u003eAssessing a project using standardized prototyping work and statistical validation\u003cbr\u003eChoosing the right technologies and tools for your project\u003cbr\u003eMaking your codebase more understandable, maintainable, and testable\u003cbr\u003eAutomating your troubleshooting and logging practices\u003cbr\u003e\u003cbr\u003eFerrying a machine learning project from your data science team to your end users is no easy task. \u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eMachine Learning Engineering in Action\u003c\/span\u003e\u003cspan\u003e will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks.\u003cbr\u003e\u003cbr\u003eBen introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You’ll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code.\u003cbr\u003e\u003cbr\u003eAbout the technology\u003cbr\u003eDeliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production.\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003eAbout the book\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eMachine Learning Engineering in Action\u003c\/span\u003e\u003cspan\u003e teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You’ll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author’s extensive experience, every method in this book has been used to solve real-world projects.\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eScoping a machine learning project for usage expectations and budget\u003cbr\u003eChoosing the right technologies for your design\u003cbr\u003eMaking your codebase more understandable, maintainable, and testable\u003cbr\u003eAutomating your troubleshooting and logging practices\u003cbr\u003e\u003cbr\u003eAbout the reader\u003cbr\u003eFor data scientists who know machine learning and the basics of object-oriented programming.\u003cbr\u003e\u003cbr\u003eAbout the author\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eBen Wilson\u003c\/span\u003e\u003cspan\u003e is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer.\u003cbr\u003e\u003cbr\u003eTable of Contents\u003cbr\u003ePART 1 AN INTRODUCTION TO MACHINE LEARNING ENGINEERING\u003cbr\u003e1 What is a machine learning engineer?\u003cbr\u003e2 Your data science could use some engineering\u003cbr\u003e3 Before you model: Planning and scoping a project\u003cbr\u003e4 Before you model: Communication and logistics of projects\u003cbr\u003e5 Experimentation in action: Planning and researching an ML project\u003cbr\u003e6 Experimentation in action: Testing and evaluating a project\u003cbr\u003e7 Experimentation in action: Moving from prototype to MVP\u003cbr\u003e8 Experimentation in action: Finalizing an MVP with MLflow and runtime optimization\u003cbr\u003ePART 2 PREPARING FOR PRODUCTION: CREATING MAINTAINABLE ML\u003cbr\u003e9 Modularity for ML: Writing testable and legible code\u003cbr\u003e10 Standards of coding and creating maintainable ML code\u003cbr\u003e11 Model measurement and why it’s so important\u003cbr\u003e12 Holding on to your gains by watching for drift\u003cbr\u003e13 ML development hubris\u003cbr\u003ePART 3 DEVELOPING PRODUCTION MACHINE LEARNING CODE\u003cbr\u003e14 Writing production code\u003cbr\u003e15 Quality and acceptance testing\u003cbr\u003e16 Production infrastructure\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49898067722562,"sku":"","price":1670.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/machine-learning-engineering-in-action-by-ben-wilson-bookshelfpk-pakistan-1898429.jpg?v=1763057017"},{"product_id":"ai-for-people-and-business-by-alex-castrounis","title":"AI for People and Business by Alex Castrounis","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eIf you're an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You'll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, founder and CEO of Why of AI, Northwestern University Adjunct, advisor, and former IndyCar engineer and data scientist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAI is exciting, powerful, and game changing--but too many AI initiatives end in failure. With this book, you'll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You'll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse the book's AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDefine a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLeverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand the importance of executive leadership for pursuing AI initiatives\u003c\/span\u003e\u003c\/span\u003e\n\u003cp\u003e\u003cspan\u003e\"A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization.\" - Dan Park, GM \u0026amp; Director, Uber\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\"Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us.\" - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49907656032578,"sku":"","price":990.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/ai-for-people-and-business-by-alex-castrounis-bookshelfpk-pakistan-6213108.jpg?v=1763057068"},{"product_id":"interpretable-machine-learning-by-christoph-molnar","title":"Interpretable Machine Learning by Christoph Molnar","description":"\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr data-mce-fragment=\"1\"\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003cspan class=\"a-text-bold\" data-mce-fragment=\"1\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eThis book covers a range of interpretability methods, from inherently interpretable models to methods that can make any model interpretable, such as SHAP, LIME and permutation feature importance. It also includes interpretation methods specific to deep neural networks, and discusses why interpretability is important in machine learning. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003e\"What I love about this book is that it starts with the big picture instead of diving immediately into the nitty gritty of the methods (although all of that is there, too).\"\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e– Andrea Farnham, Researcher at Swiss Tropical and Public Health Institute\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eWho the book is for\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003eThis book is essential for machine learning practitioners, data scientists, statisticians, and anyone interested in making their machine learning models interpretable. It will help readers select and apply the appropriate interpretation method for their specific project.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003e\"This one has been a life saver for me to interpret models. ALE plots are just too good!\"\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e– Sai Teja Pasul, Data Scientist at Kohl's\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eYou'll learn about\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe concepts of machine leaning interpretability\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eInherently interpretable models\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMethods to make any machine model interpretable, such as SHAP, LIME and permutation feature importance\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eInterpretation methods specific to deep neural networks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhy interpretability is important and what's behind this concept\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the author\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003eThe author, Christoph Molnar, is an expert in machine learning and statistics, with a Ph.D. in interpretable machine learning.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eOutline\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSummary\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e1\u003c\/span\u003e\u003cspan\u003e Preface by the Author\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e2\u003c\/span\u003e\u003cspan\u003e Introduction\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e3\u003c\/span\u003e\u003cspan\u003e Interpretability\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e4\u003c\/span\u003e\u003cspan\u003e Datasets\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5\u003c\/span\u003e\u003cspan\u003e Interpretable Models\u003c\/span\u003e\u003c\/span\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.1\u003c\/span\u003e\u003cspan\u003e Linear Regression\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.2\u003c\/span\u003e\u003cspan\u003e Logistic Regression\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.3\u003c\/span\u003e\u003cspan\u003e GLM, GAM and more\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.4\u003c\/span\u003e\u003cspan\u003e Decision Tree\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.5\u003c\/span\u003e\u003cspan\u003e Decision Rules\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.6\u003c\/span\u003e\u003cspan\u003e RuleFit\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e5.7\u003c\/span\u003e\u003cspan\u003e Other Interpretable Models\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e6\u003c\/span\u003e\u003cspan\u003e Model-Agnostic Methods\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e7\u003c\/span\u003e\u003cspan\u003e Example-Based Explanations\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8\u003c\/span\u003e\u003cspan\u003e Global Model-Agnostic Methods\u003c\/span\u003e\u003c\/span\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.1\u003c\/span\u003e\u003cspan\u003e Partial Dependence Plot (PDP)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.2\u003c\/span\u003e\u003cspan\u003e Accumulated Local Effects (ALE) Plot\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.3.1\u003c\/span\u003e\u003cspan\u003e Feature Interaction\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.4\u003c\/span\u003e\u003cspan\u003e Functional Decompositon\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.5\u003c\/span\u003e\u003cspan\u003e Permutation Feature Importance\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.6\u003c\/span\u003e\u003cspan\u003e Global Surrogate\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e8.7\u003c\/span\u003e\u003cspan\u003e Prototypes and Criticisms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9\u003c\/span\u003e\u003cspan\u003e Local Model-Agnostic Methods\u003c\/span\u003e\u003c\/span\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9.1\u003c\/span\u003e\u003cspan\u003e Individual Conditional Expectation (ICE)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9.2\u003c\/span\u003e\u003cspan\u003e Local Surrogate (LIME)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9.3\u003c\/span\u003e\u003cspan\u003e Counterfactual Explanations\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9.4\u003c\/span\u003e\u003cspan\u003e Scoped Rules (Anchors)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9.5\u003c\/span\u003e\u003cspan\u003e Shapley Values\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e9.6\u003c\/span\u003e\u003cspan\u003e SHAP (SHapley Additive exPlanations)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e10\u003c\/span\u003e\u003cspan\u003e Neural Network Interpretation\u003c\/span\u003e\u003c\/span\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e10.1\u003c\/span\u003e\u003cspan\u003e Learned Features\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e10.2\u003c\/span\u003e\u003cspan\u003e Pixel Attribution (Saliency Maps)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e10.3\u003c\/span\u003e\u003cspan\u003e Detecting Concepts\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e10.4\u003c\/span\u003e\u003cspan\u003e Adversarial Examples\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e10.5\u003c\/span\u003e\u003cspan\u003e Influential Instances\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003e11\u003c\/span\u003e\u003cspan\u003e A Look into the Crystal Ball\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49907662750018,"sku":"","price":1020.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/interpretable-machine-learning-by-christoph-molnar-bookshelfpk-pakistan-1569755.jpg?v=1763057903"},{"product_id":"data-science-from-scratch-by-joel-grus","title":"Data Science from Scratch by Joel Grus","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eTo really learn data science, you should not only master the tools―data science libraries, frameworks, modules, and toolkits―but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIf you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eGet a crash course in Python\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn the basics of linear algebra, statistics, and probability―and how and when they’re used in data science\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCollect, explore, clean, munge, and manipulate data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDive into the fundamentals of machine learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eImplement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore recommender systems, natural language processing, network analysis, MapReduce, and databases\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49907671073090,"sku":"","price":1220.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/data-science-from-scratch-by-joel-grus-bookshelfpk-pakistan-3092640.jpg?v=1763057224"},{"product_id":"real-world-machine-learning-by-henrik-brink","title":"Real-World Machine Learning by Henrik Brink","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eSummary\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-italic\"\u003eReal-World Machine Learning\u003c\/span\u003e is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Technology\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eMachine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Book\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eReal-World Machine Learning\u003c\/span\u003e will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's Inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePredicting future behavior\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePerformance evaluation and optimization\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAnalyzing sentiment and making recommendations\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Reader\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eNo prior machine learning experience assumed. Readers should know Python.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the Authors\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eHenrik Brink\u003c\/span\u003e, \u003cspan class=\"a-text-bold\"\u003eJoseph Richards\u003c\/span\u003e and \u003cspan class=\"a-text-bold\"\u003eMark Fetherolf\u003c\/span\u003e are experienced data scientists engaged in the daily practice of machine learning.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eTable of Contents\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003ePART 1: THE MACHINE-LEARNING WORKFLOW\u003c\/strong\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003col class=\"a-ordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhat is machine learning?\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eReal-world data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eModeling and prediction\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eModel evaluation and optimization\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBasic feature engineering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cstrong\u003ePART 2: PRACTICAL APPLICATION\u003c\/strong\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003col class=\"a-ordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExample: NYC taxi data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAdvanced feature engineering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAdvanced NLP example: movie review sentiment\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eScaling machine-learning workflows\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExample: digital display advertising\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cspan\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49907698925890,"sku":"","price":850.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/real-world-machine-learning-by-henrik-brink-bookshelfpk-pakistan-8315336.jpg?v=1763057229"},{"product_id":"introduction-to-machine-learning-with-python-by-andreas-c-muller","title":"Introduction to Machine Learning with Python by Andreas C. Müller","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eMachine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith this book, you’ll learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFundamental concepts and applications of machine learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAdvantages and shortcomings of widely used machine learning algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to represent data processed by machine learning, including which data aspects to focus on\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAdvanced methods for model evaluation and parameter tuning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe concept of pipelines for chaining models and encapsulating your workflow\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMethods for working with text data, including text-specific processing techniques\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSuggestions for improving your machine learning and data science skills.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49907710460226,"sku":"","price":1180.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/introduction-to-machine-learning-with-python-by-andreas-c-muller-bookshelfpk-pakistan-6185590.jpg?v=1763060389"},{"product_id":"introduction-to-artificial-intelligence-by-wolfgang-ertel","title":"Introduction to Artificial Intelligence by Wolfgang Ertel","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003cbr\u003e\n\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eThis accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTopics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). \u003c\/span\u003e\u003cspan\u003eIdeal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49942389752130,"sku":"","price":1120.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/introduction-to-artificial-intelligence-by-wolfgang-ertel-bookshelfpk-pakistan-7010332.jpg?v=1763056906"},{"product_id":"neural-networks-and-learning-machines-by-simon-haykin","title":"Neural Networks and Learning Machines by Simon Haykin","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003cbr\u003e\n\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eFor graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eNeural Networks and Learning Machines, Third Edition\u003c\/span\u003e\u003cspan\u003e is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eMatlab codes used for the computer experiments in the text are available for download at: \u003c\/span\u003e\u003ca class=\"a-link-normal\" href=\"http:\/\/www.pearsonhighered.com\/haykin\/\"\u003e\u003cspan\u003ehttp:\/\/www.pearsonhighered.com\/haykin\/\u003c\/span\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eRefocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":49942394962242,"sku":"","price":2500.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/neural-networks-and-learning-machines-by-simon-haykin-bookshelfpk-pakistan-4712755.png?v=1763057070"},{"product_id":"hands-on-large-language-models-by-jay-alammar","title":"Hands-On Large Language Models by Jay Alammar","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eAI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through this book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis book also helps you:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand the architecture of Transformer language models that excel at text generation and representation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild advanced LLM pipelines to cluster text documents and explore the topics they cover\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eGain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50369958379842,"sku":"","price":1200.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/hands-on-large-language-models-by-jay-alammar-bookshelfpk-pakistan-9279180.png?v=1763056819"},{"product_id":"grokking-algorithms-2nd-edition-by-aditya-y-bhargava","title":"Grokking Algorithms 2nd Edition by Aditya Y Bhargava","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eA friendly, fully-illustrated introduction to the most important computer programming algorithms.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eMaster the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide!\u003cbr\u003e\u003cbr\u003eIn \u003cspan class=\"a-text-italic\"\u003eGrokking Algorithms, Second Edition\u003c\/span\u003e you will discover:\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSearch, sort, and graph algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eData structures such as arrays, lists, hash tables, trees, and graphs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eNP-complete and greedy algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePerformance trade-offs between algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExercises and code samples in every chapter\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOver 400 illustrations with detailed walkthroughs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003eThe first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3.\u003cbr\u003e\u003cbr\u003eForeword by Daniel Zingaro.\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the technology\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eThe algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required!\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the book\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eGrokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's inside\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSearch, sort, and graph algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eData structures such as arrays, lists, hash tables, trees, and graphs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eNP-complete and greedy algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExercises and code samples in every chapter\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the reader\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eNo advanced math or programming skills required.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the author\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eAditya Bhargava\u003c\/span\u003e is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.\u003cbr\u003e\u003cbr\u003eTable of Contents\u003cbr\u003e\u003cbr\u003e1 Introduction to algorithms\u003cbr\u003e2 Selection sort\u003cbr\u003e3 Recursion\u003cbr\u003e4 Quicksort\u003cbr\u003e5 Hash tables\u003cbr\u003e6 Beadth-first search\u003cbr\u003e7 Trees\u003cbr\u003e8 Balanced trees\u003cbr\u003e9 Dijkstra’s algorithm\u003cbr\u003e10 Greedy algorithms\u003cbr\u003e11 Dynamic programming\u003cbr\u003e12 k-nearest neighbors\u003cbr\u003e13 where to go next\u003cbr\u003e\u003cbr\u003eOrder your book in Pakistan from Bookshelf.pk\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50690619736386,"sku":"","price":990.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/grokking-algorithms-2nd-edition-by-aditya-y-bhargava-bookshelfpk-pakistan-6431045.jpg?v=1763057071"},{"product_id":"generative-deep-learning-by-david-foster","title":"Generative Deep Learning by David Foster","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eGenerative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDiscover how VAEs can change facial expressions in photos\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTrain GANs to generate images based on your own dataset\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild diffusion models to produce new varieties of flowers\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTrain your own GPT for text generation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn how large language models like ChatGPT are trained\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCompose polyphonic music using Transformers and MuseGAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand how generative world models can solve reinforcement learning tasks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion\u003c\/span\u003e\u003c\/span\u003e\n\u003cp\u003e\u003cspan\u003eThis book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cspan\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50918537593154,"sku":"","price":1350.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/generative-deep-learning-by-david-foster-bookshelfpk-pakistan-7030664.jpg?v=1763056457"},{"product_id":"quick-start-guide-to-large-language-models-by-sinan-ozdemir","title":"Quick Start Guide to Large Language Models by Sinan Ozdemir","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eThe Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLarge Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eQuick Start Guide to Large Language Models, Second Edition\u003c\/span\u003e\u003cspan\u003e, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eOzdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family).\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse APIs and Python to fine-tune and customize LLMs for your requirements\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild a complete neural\/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI Agents\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMaster advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot prompting\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCustomize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAI\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eConstruct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasets\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF\/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDeploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDiagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003e\"A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field.\"\u003c\/span\u003e\u003cspan\u003e\u003cbr\u003e--\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003ePete Huang\u003c\/span\u003e\u003cspan\u003e, author of \u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eThe Neuron\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eRegister your book for convenient access to downloads, updates, and\/or corrections as they become available. See inside book for details. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50918577406274,"sku":"","price":890.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/quick-start-guide-to-large-language-models-by-sinan-ozdemir-bookshelfpk-pakistan-9654349.jpg?v=1763057028"},{"product_id":"generative-ai-in-higher-education-by-cecilia-ka-yuk-chan","title":"Generative AI in Higher Education by Cecilia Ka Yuk Chan","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eChan and Colloton’s book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eSince November 2022, every conversation in higher education has involved ChatGPT and its impact on all aspects of teaching and learning. The book explores the necessity of AI literacy tailored to professional contexts, assess the strengths and weaknesses of incorporating ChatGPT in curriculum design, and delve into the transformation of assessment methods in the GenAI era. The authors introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework, encouraging a learner-centric assessment model. The necessity for well-crafted AI educational policies is explored, as well as a blueprint for policy formulation in academic institutions. Technical enthusiasts are catered to with a deep dive into the mechanics behind GenAI, from the history of neural networks to the latest advances and applications of GenAI technologies.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith an eye on the future of AI in education, this book will appeal to educators, students and scholars interested in the wider societal implications and the transformative role of GenAI in pedagogy and research. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50931690144066,"sku":"","price":920.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/generative-ai-in-higher-education-by-cecilia-ka-yuk-chan-bookshelfpk-pakistan-1174811.jpg?v=1763056022"},{"product_id":"machine-learning-with-pytorch-by-sebastian-raschka","title":"Machine Learning with PyTorch by Sebastian Raschka","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cdiv data-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\"\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eThis book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003ePurchase of the print or Kindle book includes a free eBook in PDF format.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eKey Features\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn applied machine learning with a solid foundation in theory\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eClear, intuitive explanations take you deep into the theory and practice of Python machine learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cspan\u003eBook Description\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\u003eMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePacked with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhy PyTorch?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eWhat you will learn\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore frameworks, models, and techniques for machines to 'learn' from data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse scikit-learn for machine learning and PyTorch for deep learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTrain machine learning classifiers on images, text, and more\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild and train neural networks, transformers, and boosting algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDiscover best practices for evaluating and tuning models\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePredict continuous target outcomes using regression analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDig deeper into textual and social media data using sentiment analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cspan\u003eWho this book is for\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\u003eIf you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBefore you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eTable of Contents\u003c\/span\u003e\u003c\/h4\u003e\n\u003col class=\"a-ordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eGiving Computers the Ability to Learn from Data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTraining Simple Machine Learning Algorithms for Classification\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eA Tour of Machine Learning Classifiers Using Scikit-Learn\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuilding Good Training Datasets – Data Preprocessing\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCompressing Data via Dimensionality Reduction\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearning Best Practices for Model Evaluation and Hyperparameter Tuning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCombining Different Models for Ensemble Learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApplying Machine Learning to Sentiment Analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePredicting Continuous Target Variables with Regression Analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWorking with Unlabeled Data – Clustering Analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eImplementing a Multilayer Artificial Neural Network from Scratch\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cspan\u003e(N.B. Please use the Look Inside option to see further chapters)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"a-expander-header a-expander-partial-collapse-header\"\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/div\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50947342401858,"sku":"","price":1860.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/machine-learning-with-pytorch-by-sebastian-raschka-bookshelfpk-pakistan-8074227.jpg?v=1763056365"},{"product_id":"ai-engineering-by-chip-huyen","title":"AI Engineering by Chip Huyen","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eRecent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand what AI engineering is and how it differs from traditional machine learning engineering\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn the process for developing an AI application, the challenges at each step, and approaches to address them\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExamine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eChoose the right model, dataset, evaluation benchmarks, and metrics for your needs\u003c\/span\u003e\u003c\/span\u003e\n\u003cp\u003e\u003cspan\u003eChip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eAI Engineering\u003c\/span\u003e\u003cspan\u003e builds upon and is complementary to \u003c\/span\u003e\u003cspan class=\"a-text-italic\"\u003eDesigning Machine Learning Systems (O'Reilly)\u003c\/span\u003e\u003cspan\u003e. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":50957928137026,"sku":null,"price":1560.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/ai-engineering-by-chip-huyen-bookshelfpk-pakistan-9614730.jpg?v=1763056459"},{"product_id":"designing-machine-learning-systems-by-chip-huyen","title":"Designing Machine Learning Systems by Chip Huyen","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eMachine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAuthor Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis book will help you tackle scenarios such as:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eEngineering data and choosing the right metrics to solve a business problem\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAutomating the process for continually developing, evaluating, deploying, and updating models\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDeveloping a monitoring system to quickly detect and address issues your models might encounter in production\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eArchitecting an ML platform that serves across use cases\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDeveloping responsible ML systems\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51025869799746,"sku":null,"price":1180.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/designing-machine-learning-systems-by-chip-huyen-bookshelfpk-pakistan-1398146.jpg?v=1763056189"},{"product_id":"developers-playbook-for-large-language-model-security-by-steve-wilson","title":"Developers Playbook for Large Language Model Security by Steve Wilson","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eLarge language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eComplete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou'll learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhy LLMs present unique security challenges\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to navigate the many risk conditions associated with using LLM technology\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to identify the top risks and vulnerabilities associated with LLMs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMethods for deploying defenses to protect against attacks on top vulnerabilities\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWays to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization\u003c\/span\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51288402100546,"sku":null,"price":680.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/developers-playbook-for-large-language-model-security-by-steve-wilson-bookshelfpk-pakistan-4171565.jpg?v=1763056606"},{"product_id":"building-ai-agents-with-llms-rag-and-knowledge-graphs-by-salvatore-raieli","title":"Building AI Agents with LLMs, RAG, and Knowledge Graphs by Salvatore Raieli","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\n\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eMaster LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eKey Features\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eImplement RAG and knowledge graphs for advanced problem-solving\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLeverage innovative approaches like LangChain to create real-world intelligent systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eIntegrate large language models, graph databases, and tool use for next-gen AI solutions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cspan\u003eBook Description\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\u003eThis AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eInside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBy the end of this book, you’ll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eWhat you will learn\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild and query knowledge graphs for structured context and factual grounding\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDevelop AI agents that plan, reason, and use tools to complete tasks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eIntegrate LLMs with external APIs and databases to incorporate live data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply techniques to minimize hallucinations and ensure accurate outputs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOrchestrate multiple agents to solve complex, multi-step problems\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOptimize prompts, memory, and context handling for long-running tasks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDeploy and monitor AI agents in production environments\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cspan\u003eWho this book is for\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\u003eIf you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eTable of Contents\u003c\/span\u003e\u003c\/h4\u003e\n\u003col class=\"a-ordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAnalyzing Text Data with Deep Learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe Transformer: The Model Behind the Modern AI Revolution\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExploring LLMs as a Powerful AI Engine\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuilding a Web Scraping Agent with an LLM\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExtending Your Agent with RAG to Prevent Hallucinations\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAdvanced RAG Techniques for Information Retrieval and Augmentation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCreating and Connecting a Knowledge Graph to an AI Agent\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eReinforcement Learning and AI Agents\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCreating Single- and Multi-Agent Systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuilding an AI Agent Application\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe Future Ahead\u003c\/span\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51337756279106,"sku":null,"price":1610.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/building-ai-agents-with-llms-rag-and-knowledge-graphs-by-salvatore-raieli-bookshelfpk-pakistan-1664557.jpg?v=1763056417"},{"product_id":"agentic-artificial-intelligence-by-pascal-bornet","title":"Agentic Artificial Intelligence by Pascal Bornet","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eA practical, non-technical guide for business leaders, entrepreneurs, and curious minds\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-italic\"\u003e\"Agents are (…) bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.\" — Bill Gates\u003cbr\u003e\"AI agents will become the primary way we interact with computers in the future.” — Satya Nadella\u003cbr\u003e\"The age of agentic AI is here\"— Jensen Huang\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eIn a world where ChatGPT took us by storm, a far more powerful revolution is unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.\u003cbr\u003e\u003cbr\u003eHowever, behind the excitement lies a crucial reality: a significant \u003cspan class=\"a-text-bold\"\u003egap between promise and reality\u003c\/span\u003e.\u003cbr\u003e\u003cbr\u003eThis comprehensive guide on agentic AI cuts through the hype and offers a \u003cspan class=\"a-text-bold\"\u003eclear, jargon-free strategic roadmap to understanding and applying this technology\u003c\/span\u003e. The authors bring a \u003cspan class=\"a-text-bold\"\u003erare perspective\u003c\/span\u003e, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.\u003cbr\u003e\u003cbr\u003eThrough illuminating case studies and hands-on experiments, the authors reveal:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eA step-by-step method for \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eidentifying high-value agentic opportunities\u003c\/span\u003e\u003cspan\u003e and building impactful agents in your business, work, and personal life\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe secrets behind today's most\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e\u003cspan\u003e \u003c\/span\u003esuccessful agentic transformations at scale\u003c\/span\u003e\u003cspan\u003e: cutting costs by over 25% while boosting customer satisfaction by over 40%\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApproaches to \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eseize the new opportunities of the Agent Economy\u003c\/span\u003e\u003cspan\u003e—new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunities.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHands-on guidance to \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003enavigate common pitfalls\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan\u003esuch as workflow integration, error handling, data quality, agent control, and user adoption\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003enew mindset and skills required\u003c\/span\u003e\u003cspan\u003e to lead effectively in a world where humans and AI agents need to work seamlessly together\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eprofound impact of agentic AI on society\u003c\/span\u003e\u003cspan\u003e, employment, education, and our personal lives\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003eAI agents create what the authors call \"\u003cspan class=\"a-text-bold\"\u003ecompounding intelligence advantages\u003c\/span\u003e\"—the more they're used, the smarter they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next business era.\u003cbr\u003e\u003cbr\u003eThe question isn’t whether AI agents will transform your industry—it’s how you will lead that change. Every revolution demands foresight and responsibility. \u003cspan class=\"a-text-bold\"\u003eThis book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51337762439490,"sku":null,"price":1330.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/agentic-artificial-intelligence-by-pascal-bornet-bookshelfpk-pakistan-8898483.jpg?v=1763056234"},{"product_id":"co-intelligence-by-ethan-mollick","title":"Co-Intelligence by Ethan Mollick","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAN INSTANT \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eNEW YORK TIMES\u003c\/span\u003e\u003c\/strong\u003e\u003cspan class=\"a-text-bold\"\u003e\u003cstrong\u003e BESTSELLER\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eFrom Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eSomething new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world.\u003cbr\u003e\u003cbr\u003eIn \u003cspan class=\"a-text-italic\"\u003eCo-Intelligence\u003c\/span\u003e, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. \u003cspan class=\"a-text-italic\"\u003eCo-Intelligence\u003c\/span\u003e shows what it means to think and work together with smart machines, and why it's imperative that we master that skill.\u003cbr\u003e\u003cbr\u003eMollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, \u003cspan class=\"a-text-italic\"\u003eCo-Intelligence\u003c\/span\u003e reveals the promise and power of this new era. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51360626082114,"sku":null,"price":530.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/co-intelligence-by-ethan-mollick-bookshelfpk-pakistan-1253706.jpg?v=1763056104"},{"product_id":"evolutionary-deep-learning-by-micheal-lanham","title":"Evolutionary Deep Learning by Micheal Lanham","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eDiscover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model upgrades without constant manual adjustment.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eIn \u003cspan class=\"a-text-italic\"\u003eEvolutionary Deep Learning\u003c\/span\u003e you will learn how to:\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSolve complex design and analysis problems with evolutionary computation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse unsupervised learning with a deep learning autoencoder to regenerate sample data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand the basics of reinforcement learning and the Q-Learning equation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply Q-Learning to deep learning to produce deep reinforcement learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOptimize the loss function and network architecture of unsupervised autoencoders\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMake an evolutionary agent that can play an OpenAI Gym game\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cspan class=\"a-text-italic\"\u003eEvolutionary Deep Learning\u003c\/span\u003e is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. In this one-of-a-kind guide, you’ll discover tools for optimizing everything from data collection to your network architecture.\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the technology\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eDeep learning meets evolutionary biology in this incredible book. Explore how biology-inspired algorithms and intuitions amplify the power of neural networks to solve tricky search, optimization, and control problems. Relevant, practical, and extremely interesting examples demonstrate how ancient lessons from the natural world are shaping the cutting edge of data science.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the book\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eEvolutionary Deep Learning introduces evolutionary computation (EC) and gives you a toolbox of techniques you can apply throughout the deep learning pipeline. Discover genetic algorithms and EC approaches to network topology, generative modeling, reinforcement learning, and more! Interactive Colab notebooks give you an opportunity to experiment as you explore.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's inside\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSolve complex design and analysis problems with evolutionary computation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTune deep learning hyperparameters\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply Q-Learning to deep learning to produce deep reinforcement learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOptimize the loss function and network architecture of unsupervised autoencoders\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMake an evolutionary agent that can play an OpenAI Gym game\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the reader\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003eFor data scientists who know Python.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the author\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eMicheal Lanham\u003c\/span\u003e is a proven software and tech innovator with over 20 years of experience.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eTable of Contents\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003ePART 1 - GETTING STARTED\u003cbr\u003e1 Introducing evolutionary deep learning\u003cbr\u003e2 Introducing evolutionary computation\u003cbr\u003e3 Introducing genetic algorithms with DEAP\u003cbr\u003e4 More evolutionary computation with DEAP\u003cbr\u003ePART 2 - OPTIMIZING DEEP LEARNING\u003cbr\u003e5 Automating hyperparameter optimization\u003cbr\u003e6 Neuroevolution optimization\u003cbr\u003e7 Evolutionary convolutional neural networks\u003cbr\u003ePART 3 - ADVANCED APPLICATIONS\u003cbr\u003e8 Evolving autoencoders\u003cbr\u003e9 Generative deep learning and evolution\u003cbr\u003e10 NEAT: NeuroEvolution of Augmenting Topologies\u003cbr\u003e11 Evolutionary learning with NEAT\u003cbr\u003e12 Evolutionary machine learning and beyond\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51362942255426,"sku":null,"price":1100.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/evolutionary-deep-learning-by-micheal-lanham-bookshelfpk-pakistan-3384868.jpg?v=1763055974"},{"product_id":"practical-ai-on-the-google-cloud-platform-by-micheal-lanham","title":"Practical AI on the Google Cloud Platform by Micheal Lanham","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eWorking with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAuthor Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn key concepts for data science, machine learning, and deep learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eExplore tools like Video AI and AutoML Tables\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild a simple language processor using deep learning systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePerform image recognition using CNNs, transfer learning, and GANs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse Google's Dialogflow to create chatbots and conversational AI\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAnalyze video with automatic video indexing, face detection, and TensorFlow Hub\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild a complete working AI agent application\u003c\/span\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003c!--StartFragment --\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"pf0\"\u003e\u003cspan class=\"cf0\"\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003c!--EndFragment --\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51362947891522,"sku":null,"price":1190.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/practical-ai-on-the-google-cloud-platform-by-micheal-lanham-bookshelfpk-pakistan-4077880.jpg?v=1763056079"},{"product_id":"ai-superpowers-by-kai-fu-lee","title":"AI Superpowers by Kai-Fu Lee","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eTHE\u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003e NEW YORK TIMES, USA TODAY, \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eAND\u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003e WALL STREET JOURNAL \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eBESTSELLER\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\"Kai-Fu Lee believes China will be the next tech-innovation superpower and in\u003cspan class=\"a-text-italic\"\u003e AI Superpowers: China, Silicon Valley, and the New World Order, \u003c\/span\u003ehe explains why. Taiwan-born Lee is perfectly positioned for the task.\"—\u003cspan class=\"a-text-italic\"\u003eNew York Magazine\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eIn this thought-provoking book, Lee argues powerfully that because of the unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.\u003cbr\u003e\u003cbr\u003eMost experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in the future of human history. \u003c!--StartFragment --\u003e\u003cspan class=\"cf0\"\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c!--EndFragment --\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51362958213442,"sku":null,"price":720.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/ai-superpowers-by-kai-fu-lee-bookshelfpk-pakistan-3644605.jpg?v=1763055897"},{"product_id":"ai-agents-in-action-by-micheal-lanham","title":"AI Agents in Action by Micheal Lanham","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eCreate LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eFrom script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In \u003cspan class=\"a-text-italic\"\u003eAI Agents in Action\u003c\/span\u003e, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.\u003cbr\u003e\u003cbr\u003eAuthor \u003cspan class=\"a-text-bold\"\u003eMicheal Lanham\u003c\/span\u003e combines cutting-edge academic research with hands-on experience to help you:\u003cbr\u003e\u003cbr\u003e• Understand and implement AI agent behavior patterns\u003cbr\u003e• Design and deploy production-ready intelligent agents\u003cbr\u003e• Leverage the OpenAI Assistants API and complementary tools\u003cbr\u003e• Implement robust knowledge management and memory systems\u003cbr\u003e• Create self-improving agents with feedback loops\u003cbr\u003e• Orchestrate collaborative multi-agent systems\u003cbr\u003e• Enhance agents with speech and vision capabilities\u003cbr\u003e\u003cbr\u003eYou won't find toy examples or fragile assistants that require constant supervision. \u003cspan class=\"a-text-italic\"\u003eAI Agents in Action\u003c\/span\u003e teaches you to build trustworthy AI capable of handling high-stakes negotiations. You'll master prompt engineering to create agents with distinct personas and profiles, and develop multi-agent collaborations that thrive in unpredictable environments. Beyond just learning a new technology, you'll discover a transformative approach to problem-solving.\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the technology\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eMost production AI systems require many orchestrated interactions between the user, AI models, and a wide variety of data sources. AI agents capture and organize these interactions into autonomous components that can process information, make decisions, and learn from interactions behind the scenes. This book will show you how to create AI agents and connect them together into powerful multi-agent systems.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the book\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eIn \u003cspan class=\"a-text-italic\"\u003eAI Agents in Action\u003c\/span\u003e, you’ll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You’ll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you’ll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e• Knowledge management and memory systems\u003cbr\u003e• Feedback loops for continuous agent learning\u003cbr\u003e• Collaborative multi-agent systems\u003cbr\u003e• Speech and computer vision\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the reader\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eFor intermediate Python programmers.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the author\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eMicheal Lanham\u003c\/span\u003e is a software and technology innovator with over 20 years of industry experience. He has authored books on deep learning, including Manning’s Evolutionary Deep Learning.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eTable of Contents\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e1 Introduction to agents and their world\u003cbr\u003e2 Harnessing the power of large language models\u003cbr\u003e3 Engaging GPT assistants\u003cbr\u003e4 Exploring multi-agent systems\u003cbr\u003e5 Empowering agents with actions\u003cbr\u003e6 Building autonomous assistants\u003cbr\u003e7 Assembling and using an agent platform\u003cbr\u003e8 Understanding agent memory and knowledge\u003cbr\u003e9 Mastering agent prompts with prompt flow\u003cbr\u003e10 Agent reasoning and evaluation\u003cbr\u003e11 Agent planning and feedback\u003cbr\u003eA Accessing OpenAI large language models\u003cbr\u003eB Python development environment\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51362973745474,"sku":null,"price":1060.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/ai-agents-in-action-by-micheal-lanham-bookshelfpk-pakistan-9414944.jpg?v=1763055905"},{"product_id":"llms-in-production-by-christopher-brousseau","title":"LLMs in Production by Christopher Brousseau","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eGoes beyond academic discussions deeply into the applications layer of Foundation Models.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eThis practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eIn \u003cspan class=\"a-text-italic\"\u003eLLMs in Production\u003c\/span\u003e you will:\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e• Grasp the fundamentals of LLMs and the technology behind them\u003cbr\u003e• Evaluate when to use a premade LLM and when to build your own\u003cbr\u003e• Efficiently scale up an ML platform to handle the needs of LLMs\u003cbr\u003e• Train LLM foundation models and finetune an existing LLM\u003cbr\u003e• Deploy LLMs to the cloud and edge devices using complex architectures like PEFT and LoRA\u003cbr\u003e• Build applications leveraging the strengths of LLMs while mitigating their weaknesses\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-italic\"\u003eLLMs in Production\u003c\/span\u003e delivers vital insights into delivering MLOps so you can easily and seamlessly guide one to production usage. Inside, you’ll find practical insights into everything from acquiring an LLM-suitable training dataset, building a platform, and compensating for their immense size. Plus, tips and tricks for prompt engineering, retraining and load testing, handling costs, and ensuring security.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eForeword by Joe Reis.\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the technology\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eMost business software is developed and improved iteratively, and can change significantly even after deployment. By contrast, because LLMs are expensive to create and difficult to modify, they require meticulous upfront planning, exacting data standards, and carefully-executed technical implementation. Integrating LLMs into production products impacts every aspect of your operations plan, including the application lifecycle, data pipeline, compute cost, security, and more. Get it wrong, and you may have a costly failure on your hands.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the book\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-italic\"\u003eLLMs in Production\u003c\/span\u003e teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for preparing an LLM dataset, cost-efficient training hacks like LORA and RLHF, and industry benchmarks for model evaluation. Along the way, you’ll put your new skills to use in three exciting example projects: creating and training a custom LLM, building a VSCode AI coding extension, and deploying a small model to a Raspberry Pi.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eWhat's inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e• Balancing cost and performance\u003cbr\u003e• Retraining and load testing\u003cbr\u003e• Optimizing models for commodity hardware\u003cbr\u003e• Deploying on a Kubernetes cluster\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the reader\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eFor data scientists and ML engineers who know Python and the basics of cloud deployment.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAbout the author\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eChristopher Brousseau\u003c\/span\u003e and \u003cspan class=\"a-text-bold\"\u003eMatt Sharp\u003c\/span\u003e are experienced engineers who have led numerous successful large scale LLM deployments.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eTable of Contents\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e1 Generative AI: Why large language models have captured attention\u003cbr\u003e2 Large language models: A deep dive into language modeling\u003cbr\u003e3 Large language model operations: Building a platform for LLMs\u003cbr\u003e4 Data engineering for large language models: Setting up for success\u003cbr\u003e5 Training large language models: How to generate the generator\u003cbr\u003e6 Large language model services: A practical guide\u003cbr\u003e7 Prompt engineering: Becoming an LLM whisperer\u003cbr\u003e8 Applications and Agents: Building an interactive experience\u003cbr\u003e9 Creating an LLM project: Reimplementing Llama 3\u003cbr\u003e10 Creating a coding copilot project: Integrating an LLM service into VS Code with RAG\u003cbr\u003e11 Deploying an LLM on a Raspberry Pi: How low can you go?\u003cbr\u003e12 Production, an ever-changing landscape: Things are just getting started\u003cbr\u003eA History of linguistics\u003cbr\u003eB Reinforcement learning with human feedback\u003cbr\u003eC Multimodal latent spaces\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51362975187266,"sku":null,"price":1340.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/llms-in-production-by-christopher-brousseau-bookshelfpk-pakistan-5753954.jpg?v=1763056070"},{"product_id":"generative-ai-apps-with-langchain-and-python-by-rabi-jay","title":"Generative AI Apps with LangChain and Python by Rabi Jay","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eFuture-proof your programming career through practical projects designed to grasp the intricacies of LangChain’s components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eProjects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you’ll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eDeveloping LangChain-based Generative AI LLM Apps with Python\u003c\/span\u003e\u003cspan\u003e employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you’ll learn-by-be doing, enhancing your career possibilities in today’s rapidly evolving landscape.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eWhat You Will Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnderstand different types of LLMs and how to select the right ones for responsible AI.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eStructure effective prompts.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMaster LangChain concepts, such as chains, models, memory, and agents.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply embeddings effectively for search, content comparison, and understanding similarity.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSetup and integrate Pinecone vector database for indexing, structuring data, and search.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild Q \u0026amp; A applications for multiple doc formats.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDevelop multi-step AI workflow apps using LangChain agents.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eWho This Book Is For\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePython programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs. \u003c!--StartFragment --\u003e\u003cspan class=\"cf0\"\u003eOrder your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c!--EndFragment --\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51362980364610,"sku":null,"price":1540.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/generative-ai-apps-with-langchain-and-python-by-rabi-jay-bookshelfpk-pakistan-1511455.jpg?v=1763056195"},{"product_id":"the-atlas-of-ai-by-kate-crawford","title":"The Atlas of AI by Kate Crawford","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eThe hidden costs of artificial intelligence—from natural resources and labor to privacy, equality, and freedom\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003e“This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained.”—\u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eNew Yorker\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003e“A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future.”—John Thornhill, \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eFinancial Times\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003e“It’s a masterpiece, and I haven’t been able to stop thinking about it.”—Karen Hao, senior editor, \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eMIT Tech Review\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e \u003cbr\u003eWhat happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award‑winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth to the labor pulled from low-wage information workers to the data taken from every action and expression.\u003cbr\u003e \u003cbr\u003eCrawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. Rather than taking a narrow focus on code and algorithms, Crawford offers us a material and political perspective on what it takes to make AI and how it centralizes power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51390390960450,"sku":null,"price":820.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/the-atlas-of-ai-by-kate-crawford-bookshelfpk-pakistan-5553613.jpg?v=1763055726"},{"product_id":"human-compatible-by-stuart-russell-1","title":"Human Compatible by Stuart Russell","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eA leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eIn the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.\u003cbr\u003e\u003cbr\u003eIn this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.\u003cbr\u003e\u003cbr\u003eIf the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51390596284738,"sku":null,"price":990.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/human-compatible-by-stuart-russell-bookshelfpk-pakistan-1608284.jpg?v=1763055723"},{"product_id":"the-fourth-revolution-by-luciano-floridi","title":"The Fourth Revolution by Luciano Floridi","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eWho are we, and how do we relate to each other? Luciano Floridi, one of the leading figures in contemporary philosophy, argues that the explosive developments in Information and Communication Technologies (ICTs) are changing the answer to these fundamental human questions.\u003cbr\u003e\u003cbr\u003eAs the boundaries between life online and offline break down, and we become seamlessly connected to each other and surrounded by smart, responsive objects, we are all becoming integrated into an \"infosphere\". Personas we adopt in social media, for example, feed into our 'real' lives so that we begin to live, as Floridi puts in, \"onlife\". Following those led by Copernicus, Darwin, and Freud, this metaphysical shift represents nothing less than a fourth revolution.\u003cbr\u003e\u003cbr\u003e\"Onlife\" defines more and more of our daily activity - the way we shop, work, learn, care for our health, entertain ourselves, conduct our relationships; the way we interact with the worlds of law, finance, and politics; even the way we conduct war. In every department of life, ICTs have become environmental forces which are creating and transforming our realities. How can we ensure that we shall reap their benefits? What are the implicit risks? Are our technologies going to enable and empower us, or constrain us? Floridi argues that we must expand our ecological and ethical approach to cover both natural and man-made realities, putting the 'e' in an environmentalism that can deal successfully with the new challenges posed by our digital technologies and information society. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51402503749954,"sku":null,"price":720.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/the-fourth-revolution-by-luciano-floridi-bookshelfpk-pakistan-6395111.jpg?v=1763055724"},{"product_id":"machine-learning-q-and-ai-by-sebastian-raschka","title":"Machine Learning Q and AI by Sebastian Raschka","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm white (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eBlack \u0026amp; White, Digitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cspan class=\"a-text-bold\"\u003eLearn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003eIf you’re ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of \u003cspan class=\"a-text-italic\"\u003eMachine Learning Q and AI\u003c\/span\u003e will make things fast and easy for you, without a lot of mucking about.\u003cbr\u003e\u003cbr\u003eBorn out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003e\u003cu\u003eWHAT'S INSIDE:\u003c\/u\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eFOCUSED CHAPTERS:\u003c\/span\u003e\u003c\/strong\u003e Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eWIDE RANGE OF TOPICS:\u003c\/span\u003e\u003c\/strong\u003e Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003ePRACTICAL APPLICATIONS:\u003c\/span\u003e \u003c\/strong\u003eLearn techniques for enhancing model performance, fine-tuning large models, and more.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eYou’ll also explore how to:\u003c\/strong\u003e\u003cbr\u003e• Manage the various sources of randomness in neural network training\u003cbr\u003e• Differentiate between encoder and decoder architectures in large language models\u003cbr\u003e• Reduce overfitting through data and model modifications\u003cbr\u003e• Construct confidence intervals for classifiers and optimize models with limited labeled data\u003cbr\u003e• Choose between different multi-GPU training paradigms and different types of generative AI models\u003cbr\u003e• Understand performance metrics for natural language processing\u003cbr\u003e• Make sense of the inductive biases in vision transformers\u003cbr\u003e\u003cbr\u003eIf you’ve been on the hunt for the perfect resource to elevate your understanding of machine learning, \u003cspan class=\"a-text-italic\"\u003eMachine Learning Q and AI\u003c\/span\u003e will make it easy for you to advance your knowledge beyond the basics painlessly. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51402611786050,"sku":null,"price":1010.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/machine-learning-q-and-ai-by-sebastian-raschka-bookshelfpk-pakistan-4273325.jpg?v=1763055752"},{"product_id":"empire-of-ai-by-karen-hao","title":"Empire of AI by Karen Hao","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eA \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eNew York Times\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e Notable Book • An Instant \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eNew York Times\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e Bestseller\u003cbr\u003e\u003cbr\u003e“A bestselling page-turner that has made waves not just in Silicon Valley but around the world . . . With \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eEmpire of AI, \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eHao is fundamentally shaping many people’s perceptions and understanding of the company at the center of the AI revolution.” \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003e—TIME Magazine\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e, “TIME100 AI 2025”\u003cbr\u003e\u003cbr\u003e“Excellent and deeply reported.” —Tim Wu,\u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003e The New York Times\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e\u003cbr\u003e\u003cbr\u003e“Startling and intensely researched . . . an essential account of how OpenAI and ChatGPT came to be and the catastrophic places they will likely take us.” —\u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eVulture\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e“Hao’s reporting inside OpenAI is exceptional, and she’s persuasive in her argument that the public should focus less on A.I.’s putative ‘sentience’ and more on its implications for labor and the environment.” —Benjamin Wallace-Wells, \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eNew Yorker\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e\u003cbr\u003e\u003cbr\u003eFrom a brilliant longtime AI insider with intimate access to the world of Sam Altman's OpenAI from the beginning, an eye-opening account of arguably the most fateful tech arms race in history, reshaping the planet in real time, from the cockpit of the company that is driving the frenzy\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eWhen AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?\u003cbr\u003e\u003cbr\u003eOver time, Hao began to wrestle ever more deeply with that question. Increasingly, she realized that the core truth of this massively disruptive sector is that its vision of success requires an almost unprecedented amount of resources: the “compute” power of high-end chips and the processing capacity to create massive large language models, the sheer volume of data that needs to be amassed at scale, the humans “cleaning up” that data for sweatshop wages throughout the Global South, and a truly alarming spike in the usage of energy and water underlying it all. The truth is that we have entered a new and ominous age of empire: only a small handful of globally scaled companies can even enter the field of play. At the head of the pack with its ChatGPT breakthrough, how would OpenAI resist such temptations?\u003cbr\u003e\u003cbr\u003eSpoiler alert: it didn’t. Armed with Microsoft’s billions, OpenAI is setting a breakneck pace, chased by a small group of the most valuable companies in human history—toward what end, not even they can define. All this time, Hao has maintained her deep sourcing within the company and the industry, and so she was in intimate contact with the story that shocked the entire tech industry—Altman’s sudden firing and triumphant return. The behind-the-scenes story of what happened, told here in full for the first time, is revelatory of who the people controlling this technology really are. But this isn’t just the story of a single company, however fascinating it is. The g forces pressing down on the people of OpenAI are deforming the judgment of everyone else too—as such forces do. Naked power finds the ideology to cloak itself; no one thinks they’re the bad guy. But in the meantime, as Hao shows through intrepid reporting on the ground around the world, the enormous wheels of extraction grind on. By drawing on the viewpoints of Silicon Valley engineers, Kenyan data laborers, and Chilean water activists, Hao presents the fullest picture of AI and its impact we’ve seen to date, alongside a trenchant analysis of where things are headed. An astonishing eyewitness view from both up in the command capsule of the new economy and down where the real suffering happens, \u003cspan class=\"a-text-italic\"\u003eEmpire of AI\u003c\/span\u003e pierces the veil of the industry defining our era. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51578591904066,"sku":null,"price":1090.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/empire-of-ai-by-karen-hao-bookshelfpk-pakistan-2289129.jpg?v=1764186185"},{"product_id":"build-passive-income-with-ai-by-chuck-little","title":"Build Passive Income with AI by Chuck Little","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eDISCOVER HOW TO MAKE MONEY WITH AI\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eANYONE\u003c\/span\u003e can tap into the booming AI economy without spending a fortune—even if your best tech skill is turning the power off and back on again.\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eCompared to starting a traditional business, launching an AI-powered venture feels like playing on easy mode.\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eWritten with Beginners in Mind\u003c\/span\u003e\u003cbr\u003eForget cryptic tech jargon! If you're the type of person who considers it a victory when Alexa wakes you up at the \u003cspan class=\"a-text-italic\"\u003eright\u003c\/span\u003e time, you'll appreciate Chuck's nurturing guidance to help you build an AI-powered business.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003ePerfect for You If:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eYou want to make money with AI but don't know where to start\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eYou're tired of trading time for money and want income that works while you don't\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eYou need practical guidance, not vague theoretical fluff\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eYou want to use AI ethically and build something sustainable\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eYou're curious about AI but overwhelmed (and perhaps slightly intimidated) by it\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eYou'll Learn to Master these Easy-to-Use AI Tools:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eChatGPT, Claude, Manus, Midjourney\u003c\/span\u003e\u003cspan\u003e – Get the most out of your 24\/7 unpaid intern army\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLovable, Cursor, Windsurf\u003c\/span\u003e\u003cspan\u003e – Create apps and stunning websites just by chatting to your computer\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eZapier, n8n\u003c\/span\u003e\u003cspan\u003e – Automate tasks effortlessly\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEleven Labs, Runway, VEO3\u003c\/span\u003e\u003cspan\u003e – Produce pro-quality voiceovers and videos in minutes\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003e20+ PROVEN Ways to Make Money with AI\u003c\/span\u003e Step-by-step blueprints for real-world income strategies with no assumptions and no skipped steps, including:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eSelling digital products that run on autopilot\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eOffering AI-powered freelancing services\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuilding automated content\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBecoming an AI consultant for small businesses\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCreating online courses\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eMarket Like a Pro\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAutomate your social media growth\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCraft email sequences that turn browsers into buyers\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCreate local ads that actually convert and bring in new customers for small businesses\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eRank high with AI-enhanced SEO\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eUse this practical playbook to turn AI into actual income.\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eInside This Book:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eThe Fitness Challenge\u003c\/span\u003e\u003cspan\u003e – See how to research, create, and sell digital fitness programs\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eBuild a Bakery Website\u003c\/span\u003e\u003cspan\u003e – Build and sell professional websites to local businesses in under an hour\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eThe Content Kickstarter Package\u003c\/span\u003e\u003cspan\u003e – Make money creating marketing content for small businesses\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eAI Chatbot Services\u003c\/span\u003e\u003cspan\u003e – Charge money to save businesses hours of customer service headaches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDigital Asset Empires\u003c\/span\u003e\u003cspan\u003e – Create once, sell forever\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eAI-Assisted Editors\u003c\/span\u003e\u003cspan\u003e – Write the bestseller you've always dreamed about\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003ePOPULAR CHAPTERS:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eEthics:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Use AI responsibly, protect yourself legally—includes data security and the dangers of API keys\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eThe Power of Prompt Crafting:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Become an AI-whisperer, transforming wishy-washy AI responses into pure gold with the C.R.A.F.T. method\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eVibe Coding Demystified:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Build apps without writing code. Make a blog idea generator in 20 minutes\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eThe AI Consultant's Playbook:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Five services you can start selling tomorrow to overwhelmed small businesses\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eFuture-Proofing:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eKeep your AI business cutting-edge\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003e\u003cstrong\u003eZero affiliate links. Zero kickbacks. Zero bull.\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eIncludes 4 Bonus Chapters\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan class=\"a-text-bold\"\u003eBottom Line:\u003c\/span\u003e While others are debating whether AI will steal their jobs, you'll be busy building your AI empire. The tools are free. The opportunities are everywhere. All you need is this book and the courage to try. Order your book in Pakistan from Bookshelf.pk\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51646479139138,"sku":null,"price":590.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/BuildPassiveIncomewithAIbyChuckLittle-Bookshelf.pkPakistan.jpg?v=1764914316"},{"product_id":"genesis-by-henry-a-kissinger","title":"Genesis by Henry A. Kissinger","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eNEW YORK TIMES\u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003e BESTSELLER | \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eUSA TODAY \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eBESTSELLER  |  \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eLOS ANGELES TIMES \u003c\/span\u003e\u003cspan class=\"a-text-bold\"\u003eBESTSELLER  | J.P. MORGAN NEXTLIST SELECTION\u003cbr\u003e\u003cbr\u003eIn his final book, the late Henry Kissinger joins forces with two leading technologists to mount “a profound exploration” (Walter Isaacson) of the epochal challenges and opportunities presented by the revolution in Artificial Intelligence: a breakthrough that dramatically empowers people in all walks of life while also raising urgent questions about the future of humanity.\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e \u003cbr\u003eAs it absorbs data, gains agency, and intermediates between humans and reality, AI (Artificial Intelligence) will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It could solve some of the universe's greatest mysteries and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen—usurping our power of independent judgment and action, testing our relationship with the divine, and perhaps even spurring a new phase in human evolution.\u003cbr\u003e \u003cbr\u003eThe last book of elder statesman Henry Kissinger, written with technologists Craig Mundie and Eric Schmidt, \u003cspan class=\"a-text-italic\"\u003eGenesis\u003c\/span\u003e charts a course between blind faith and unjustified fear as it outlines an effective strategy for navigating the age of AI. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51792826302786,"sku":null,"price":530.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/GenesisbyHenryA.Kissinger-Bookshelf.pkPakistan.jpg?v=1767947895"},{"product_id":"the-age-of-surveillance-capitalism-by-shoshana-zuboff","title":"The Age of Surveillance Capitalism by Shoshana Zuboff","description":"\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eProduct Description:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ch3\u003ePaper quality= 70 gsm offwhite (Excellent)\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eCover quality= 260 gsm card\u003c\/h3\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ch3\u003eDigitally printed, with excellent print and paper quality\u003c\/h3\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eBook Synopsis:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\"\u003eAn exposé of the unprecedented form of power called “surveillance capitalism,” and the quest by powerful corporations to predict and control our behavior\u003cbr\u003e \u003cbr\u003e“Groundbreaking, magisterial, alarming.” – \u003c\/span\u003e\u003cspan class=\"a-text-bold a-text-italic\"\u003eFinancial Times\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe heady optimism of the Internet’s early days has turned dark. Surveillance capitalism has deepened inequality, sown societal chaos, and undermined democracy.\u003cbr\u003e \u003cbr\u003eThe fight for a human future has never been more urgent. Shoshana Zuboff argues that we still have the power to decide what kind of world we want to live in: Will we allow surveillance capitalism to wrap us in its iron cage as it enriches the few and subjugates the many? Or will we demand the rights and laws that place this rogue power under the democratic rule of law? Only democracy can ensure that the vast new capabilities of the digital era are harnessed to the advancement of humanity. \u003cspan class=\"a-text-italic\"\u003eThe Age of Surveillance Capitalism\u003c\/span\u003e is a deeply original, exquisitely reasoned, and spell binding examination of our emerging information civilization and the life and death choices we face. Order your book in Pakistan from Bookshelf.pk\u003c\/span\u003e\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":51891008930114,"sku":null,"price":1980.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/TheAgeofSurveillanceCapitalismbyShoshanaZuboff-Bookshelf.pkPakistan.jpg?v=1769411449"},{"product_id":"the-ai-con-by-emily-m-bender","title":"The AI Con by Emily M. Bender","description":"\u003ch2\u003e🔹 Quality Information\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePaper Quality: 70 gsm high-quality paper\u003c\/li\u003e\n\u003cli\u003eCover Quality: Sturdy 300 gsm card stock\u003c\/li\u003e\n\u003cli\u003ePrinting: Crisp digital printing with a professional finish\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e🔹 About This Book\u003c\/h2\u003e\n\u003cp\u003e\"The AI Con\" by Emily M. Bender offers a sharp and insightful critique of artificial intelligence technologies. The book explains how AI hype misleads the public, overstates capabilities, and masks the profit-driven agendas of powerful tech companies. With wit and clarity, Bender and co-author Alex Hanna reveal the real risks of blindly trusting AI claims, while providing readers in Pakistan and beyond the tools to critically evaluate AI technologies in daily life, work, and policy.\u003c\/p\u003e\n\u003ch2\u003e🔹 Why You’ll Love This Book\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the myths and exaggerations surrounding AI\u003c\/li\u003e\n\u003cli\u003eLearn to identify and deconstruct AI hype\u003c\/li\u003e\n\u003cli\u003eGain insights into Big Tech’s influence on technology and society\u003c\/li\u003e\n\u003cli\u003eProtect your creativity and work from automated overreach\u003c\/li\u003e\n\u003cli\u003eBe informed as a consumer, employee, or policymaker\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e🔹 Full Description\u003c\/h2\u003e\n\u003cp\u003e\"The AI Con\" dives into the world of artificial intelligence, separating fact from fiction. Bender and Hanna argue that AI is often overhyped to serve the interests of powerful corporations, devalue human work, and justify mass data collection. The book explores common misconceptions about AI’s capabilities, including the fears of machines surpassing human intelligence or taking over creative professions. Using real-world examples, the authors show how AI hype shapes policy, business practices, and public perception. Readers will learn to spot misleading claims, challenge overstatements, and navigate the AI-driven marketplace with awareness. Practical, engaging, and sharply written, \"The AI Con\" equips readers to understand AI beyond the buzzwords, helping them make informed decisions as consumers, professionals, and citizens. 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Instead of treating AI as complex technology, the book shows how it simply reduces the cost of prediction, helping businesses and individuals make better decisions in uncertain situations.\u003c\/p\u003e\n\u003ch2\u003eWhy You’ll Love This Book\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eBreaks down AI into simple concepts anyone can understand\u003c\/li\u003e\n\u003cli\u003eConnects artificial intelligence with real-world business decisions\u003c\/li\u003e\n\u003cli\u003eIdeal for professionals and students in Pakistan exploring AI and strategy\u003c\/li\u003e\n\u003cli\u003eOffers practical insights for entrepreneurs and investors\u003c\/li\u003e\n\u003cli\u003eHelps you understand how AI can improve productivity and growth\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFull Description\u003c\/h2\u003e\n\u003cp\u003eArtificial intelligence is transforming industries, but many people struggle to understand its real impact. 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Daron Acemoglu and Simon Johnson argue that progress is not automatic or equally shared. Instead, technological change is influenced by those in power, often leading to greater wealth and control for a small group while leaving others behind.\u003c\/p\u003e\n\u003cp\u003eThrough rich historical examples, from the Middle Ages to the modern digital era, the authors show how innovation has been used to benefit elites rather than society as a whole. They explain how current technologies, including artificial intelligence, risk increasing inequality if left unchecked.\u003c\/p\u003e\n\u003cp\u003eFor readers in Pakistan, this book provides valuable insight into global economic trends and their local impact. It also offers a hopeful path forward, showing how better decisions and policies can ensure technology creates jobs, supports growth, and delivers shared prosperity for all.\u003c\/p\u003e","brand":"Bookshelf.pk","offers":[{"title":"Default Title","offer_id":52922461651266,"sku":null,"price":1470.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/8314\/2466\/files\/PowerandProgressbyAcemoglu_Johnson-Bookshelf.pkPakistan.webp?v=1776154580"},{"product_id":"pattern-recognition-and-machine-learning-by-christopher-m-bishop","title":"Pattern Recognition and Machine Learning by Christopher M. 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