Course Notes

Welcome to the course notes section. Here are the topics we will cover:

1. Basic Search

   • An introduction to depth-first and breadth-first strategies.

2. A* Search

   • Optimizing search with heuristics.

3. Game Playing

   • Adversarial search and Minimax.

   • Probability and Expectimax

4. Markov Decision Processes

   • Reinforcement Learning

5. Bayesian Models

   • Hidden Markov Models

   • Bayes Nets

6. Linear Algebra

7. Machine Learning

   • Overfitting

   • Clustering

   • Decision Trees