Grokking AI Algorithms
I wrote Grokking Artificial Intelligence Algorithms. The book is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you’ll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization.
Grab a copy at Manning Publications.
Table of Contents
1. Intuition of artificial intelligence
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 with Q-Learning
Removes the fear of stepping into the mechanics of AI. - Kyle Peterson