Grokking AI Algorithms, Second Edition

Rishal Hurbans

ISBN 10: 1633434818 / ISBN 13: 9781633434813

Verlag: Manning Publications Jul 2026, 2026

Beschreibung

Neuware - Get a free Elektronisches Buch (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.Artificial 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. You 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. In Grokking AI Algorithms, Second Edition you will discover: How to pick the right algorithm for each AI problem Learn the fundamentals of search (the foundation of modern AI) Building intelligent agents to solve puzzles Finding solutions using the theory of evolution and genetic algorithms Make predictions with neural networks Understand how AI gets better with reinforcement learning Building a LLM pipeline and image diffusion model from scratch About the technology AI 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. Grokking AI Algorithms, Second Edition illuminates the algorithms behind modern generative AI with clear explanations, step-by-step code examples, and beautifully simple illustrations. About the book Everything 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. What's inside Search algorithms and swarm optimization Deep learning and neural networks Training AI with reinforcement learning Building a LLM pipeline for text generation About the reader Requires beginning to intermediate programming skills and high school level mathematics. No AI experience required. About the author Rishal Hurbans is an experienced technologist and serial entrepreneur specializing in AI engineering and human performance. Table of Contents 1 Intuition of AI 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning 11 Large language models 12 Generative image models.

Bestandsnummer des Verkäufers 9781633434813

Bibliografische Details

• Titel: Grokking AI Algorithms, Second Edition
• Verlag: Manning Publications Jul 2026
• Erscheinungsjahr: 2026
• Sprache: Englisch
• ISBN-10: 1633434818
• ISBN-13: 9781633434813
• Einband: Buch
• Auflage: 2. Auflage
• Zustand: Neu
• Abmessungen: 234B x 185 H x 46 T Millimeter Breite: 234 mm, Höhe: 185 mm, Tiefe: 46 mm
• Gewicht: 771 Gramm

Über diesen Titel

Inhaltsangabe

Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. 

• Learn how to pick the right algorithm for each AI problem. 

• Understand the fundamentals of search, which is the foundation of modern AI. 

• Build intelligent agents to solve puzzles and find solutions using genetic algorithms. 

• Make predictions with neural networks and see how AI improves with reinforcement learning. 

• Build a large language model pipeline and an image diffusion model from scratch. 

Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. 

After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed. 

Über die Autorin bzw. den Autor

Rishal Hurbans is a technologist, founder and international speaker. He is known for making complex AI concepts accessible. With experience building technology and explaining it to a global audience, he brings a clear and practical style to every page. He translates core AI theory into simple explanations that help developers build real-world applications with confidence.