Grokking AI Algorithms, Second Edition 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.
Rishal Hurbans
Artificial intelligence may feel like magic sometimes—but under the hood, it’s a collection of elegant algorithms that reason, learn, and adapt. The newly released Grokking AI Algorithms, Second Edition by Rishal Hurbans dives deep into those algorithms, explaining how they work with simple visuals, hands-on examples, and approachable explanations.
This updated edition explores both the foundations and the frontiers of AI. It covers the classic algorithms that drive search, optimization, and learning systems, then builds toward modern approaches powering large language models and image generation.
You’ll learn how to:
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Choose the right algorithm for a specific AI problem
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Understand and implement classic search algorithms — the basis of intelligent planning
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Build agents that can learn and adapt using reinforcement learning
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Experiment with genetic algorithms inspired by evolution
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Create neural networks for prediction tasks
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Develop your own LLM pipeline and image diffusion model from scratch
What makes this book stand out is its teaching approach — every concept is made intuitive through illustrations, pseudocode, and minimal-yet-meaningful examples that help you see what’s happening behind the math. It’s perfect for developers who want to build intuition, not just code.
Whether you’re building AI systems, experimenting with agents, or just trying to connect the dots between deep learning, reinforcement learning, and generative models, this book helps make sense of how it all fits together.
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