An Important Note About This Textbook
Last Updated: 5 January 2021
The Critical AI Textbook is a living document.
- Opening
- Chapter 1: Introduction to AI
- Chapter 2: Python Basics
- Chapter 3: Search Algorithms
- Chapter 4: GOFAI: Logic, Symbols, and Rules
- Chapter 5: Machine Learning Basics
- Chapter 6: Probabilistic Models (Bayes)
- Chapter 7: Regression
- Chapter 8: Neural Networks
- Chapter 9: Deep Learning
- Chapter 10: Unsupervised Learning
- Computer Vision
- Natural Language Processing
- Planning, MDPs, and Reinforcement Learning
- Recommendation Systems
- Additional Approaches
- Specific Application Areas
- Fairness, Accountability, and Transparency
- Justice, Abolition, and Critical Race Theory