Grokking Artificial Intelligence Algorithms

Grokking Artificial Intelligence Algorithms, Second Edition is a comprehensive guide that demystifies AI algorithms for programmers and data science enthusiasts. The book uses plain language, clever illustrations, and practical Python code to teach both classic and modern AI techniques. It covers a wide spectrum of algorithms including search, optimization, planning, supervised and unsupervised learning, neural networks, deep learning, generative AI, and reinforcement learning. Each chapter builds intuition first, then dives into implementation, making complex ideas accessible. Targeted at readers with basic programming knowledge (preferably Python), the book is ideal for software developers wanting to enter AI, data scientists looking to solidify fundamentals, and students preparing for technical interviews. The second edition includes new chapters on transformers, large language models, and generative AI. What sets it apart is its focus on visual learning and mental models. Rather than presenting math-heavy proofs, it uses diagrams, analogies, and step-by-step walkthroughs to reveal how algorithms genuinely work. The accompanying code repository lets you experiment with implementations directly.