1Chapter 1: Introduction to Artificial Intelligence
9Chapter 9: Evolutionary Algorithms
2Chapter 2: Mathematical and Statistical Background
10Chapter 10: Probabilistic Models
3Chapter 3: Search and Problem Solving
11Chapter 11: AI in Natural Language Processing
4Chapter 4: Supervised Learning
12Chapter 12: AI for Computer Vision
5Chapter 5: Unsupervised Learning
13Chapter 13: AutoML and Meta-Learning
6Chapter 6: Ensemble Methods
14Chapter 14: AI in Industry
7Chapter 7: Neural Networks and Deep Learning
15Chapter 15: Ethics, Fairness, and Interpretability
8Chapter 8: Reinforcement Learning
16Chapter 16: Future Directions