Lecture Notes
- Lecture 1: Introduction (lec1(1).pdf, lec1(2).pdf)
- Lecture 2: Problem Solving and Search (lec2.pdf)
- Lecture 3: Review of BFS and DFS (BFSandDFS.pdf)
- Lecture 4: Informed Search (InformedSearch.pdf)
- Lecture 5: Constraint Satisfaction Problem (CSP.pdf)
- Lecture 6: Game Playing
- Lecture 7: Learning Introduction (learning1.pdf)
- Lecture 8: Machine Learning II (learning2.pdf)
- Lecture 9: Machine Learning III (learning3.pdf)
- Lecture 10: Machine Learning IV (learning4.pdf)
- Lecture 11: Machine Learning V (learning5.pdf)
Note: resources for machine learning (including a set of sample training data used in the lecture notes) can be found at datasets-in-lectures.zip