{"product_id":"grokking-ai-algorithms-second-edition-how-ai-solves-complex-problems-isbn-9781633434813","title":"Grokking AI Algorithms, Second Edition: How AI solves complex problems","description":"\u003cb\u003eGet a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eArtificial intelligence algorithms are the backbone of search and optimization, deep learning, reinforcement learning, and, of course, generative AI. This book introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Written in simple language and with lots of visual references and hands-on code examples, it helps you build a natural intuition into how intelligent systems learn, plan, and adapt. This second edition has been thoroughly revised, with new chapters on large language models, image generation, and more.\u003cbr\u003e\u003cbr\u003eYou know you can solve a problem with AI—but how? Which algorithm do you pick and how do you properly implement it? This book makes it simple and easy to understand the most core and common AI approaches. You’ll learn how to understand problem types, map real-world tasks to those problems, and how to design and implement the right algorithm—all following clear visual examples, pseudocode, and learning-oriented examples.\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eGrokking AI Algorithms, Second Edition\u003c\/i\u003e you will discover:\u003cul\u003e\n\u003cli\u003eHow to pick the right algorithm for each AI problem\u003c\/li\u003e\n\u003cli\u003eLearn the fundamentals of search (the foundation of modern AI)\u003c\/li\u003e\n\u003cli\u003eBuilding intelligent agents to solve puzzles\u003c\/li\u003e\n\u003cli\u003eFinding solutions using the theory of evolution and genetic algorithms\u003c\/li\u003e\n\u003cli\u003eMake predictions with neural networks\u003c\/li\u003e\n\u003cli\u003eUnderstand how AI gets better with reinforcement learning\u003c\/li\u003e\n\u003cli\u003eBuilding a LLM pipeline and image diffusion model from scratch\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eAI algorithms are the backbone of search and optimization problems, deep learning, reinforcement learning, and, of course, generative AI. But knowing which algorithm to use—and why—is often harder than writing the code itself. \u003ci\u003eGrokking AI Algorithms, Second Edition\u003c\/i\u003e illuminates the algorithms behind modern generative AI with clear explanations, step-by-step code examples, and beautifully simple illustrations.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eEverything you’ll learn in this powerfully simple book is reinforced through engaging, end-to-end projects—from solving mazes with search algorithms to navigating a car through a crowded parking lot with reinforcement learning. Plus, this second edition has been thoroughly revised with fresh chapters exploring the core algorithms of LLMs and image generation models.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eSearch algorithms and swarm optimization\u003c\/li\u003e\n\u003cli\u003eDeep learning and neural networks\u003c\/li\u003e\n\u003cli\u003eTraining AI with reinforcement learning\u003c\/li\u003e\n\u003cli\u003eBuilding a LLM pipeline for text generation\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eRequires beginning to intermediate programming skills and high school level mathematics. No AI experience required.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eRishal Hurbans\u003c\/b\u003e is an experienced technologist and serial entrepreneur specializing in AI engineering and human performance.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e1 Intuition of AI\u003cbr\u003e2 Search fundamentals\u003cbr\u003e3 Intelligent search\u003cbr\u003e4 Evolutionary algorithms\u003cbr\u003e5 Advanced evolutionary approaches\u003cbr\u003e6 Swarm intelligence: Ants\u003cbr\u003e7 Swarm intelligence: Particles\u003cbr\u003e8 Machine learning\u003cbr\u003e9 Artificial neural networks\u003cbr\u003e10 Reinforcement learning\u003cbr\u003e11 Large language models\u003cbr\u003e12 Generative image models","brand":"Simon \u0026 Schuster","offers":[{"title":"Default Title","offer_id":48505323520229,"sku":"NP9781633434813","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/O_65f732f3-1744-4223-b958-2d14e3d8d525.jpg?v=1775167751","url":"https:\/\/k12savings.com\/es\/products\/grokking-ai-algorithms-second-edition-how-ai-solves-complex-problems-isbn-9781633434813","provider":"K12savings","version":"1.0","type":"link"}