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Opening
Chapter 1: Introduction to AI
- What Is AI?
Chapter 2: Python Basics
- Python Basics
Chapter 3: Search Algorithms
- Search Algorithms
Chapter 4: GOFAI: Logic, Symbols, and Rules
- Propositional Logic
Chapter 5: Machine Learning Basics
- Introduction to Machine Learning
Chapter 6: Probabilistic Models (Bayes)
- Bayes Theorem
Chapter 7: Regression
- Supervised Machine Learning
Chapter 8: Neural Networks
- Neural Networks
Chapter 9: Deep Learning
- Deep Learning
Chapter 10: Unsupervised Learning
Computer Vision
- Computer Vision
Natural Language Processing
- Natural Language Processing
Planning, MDPs, and Reinforcement Learning
- Reinforcement Learning
Recommendation Systems
- Recommendation Systems
Additional Approaches
- Artificial General Intelligence
- Cognitive Architectures
Specific Application Areas
Fairness, Accountability, and Transparency
- Mini History
Justice, Abolition, and Critical Race Theory
- Justice

Justice