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The CRAIT Project
Textbook
About
Blog
Twitter
Menu
Opening
An Important Note
Foreword
Acknowledgements
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
Clustering
Principal Component Analysis (PCA)
Expectation-Maximization (EM)
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
Autonomous Vehicles
Criminal Justice
Games
Medicine
Art and Music
Fairness, Accountability, and Transparency
Mini History
Justice, Abolition, and Critical Race Theory
Justice
Search Algorithms
Testing that math can be shown...
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