This repository accompanies a Manning Publications book on AI algorithms, providing practical Python implementations of machine learning concepts, neural networks, reinforcement learning techniques, and evolutionary computation methods. The code includes examples across search algorithms, classification, regression, genetic algorithms, particle swarm optimization, ant colony optimization, and Q-learning. Chapters 11–12 require PyTorch for deep learning demonstrations.