### Lecture Slides

Here is the complete set of lecture slides for CS188, including videos, and videos of demos run in lecture: CS188 Slides [~3 GB].

The list below contains all the lecture powerpoint slides:

- Lecture 1: Introduction
- Lecture 2: Uninformed Search
- Lecture 3: Informed Search
- Lecture 4: CSPs I
- Lecture 5: CSPs II
- Lecture 6: Adversarial Search
- Lecture 7: Expectimax Search and Utilities
- Lecture 8: MDPs I
- Lecture 9: MDPs II
- Lecture 10: Reinforcement Learning I
- Lecture 11: Reinforcement Learning II
- Lecture 12: Probability
- Lecture 13: Markov Models
- Lecture 14: Hidden Markov Models
- Lecture 15: Particle Filters and Applications of HMMs
- Lecture 16: Bayes Nets I: Representation
- Lecture 17: Bayes Nets II: Independence
- Lecture 18: Bayes Nets III: Inference
- Lecture 19: Bayes Nets IV: Sampling
- Lecture 20: Decision Diagrams and VPI
- Lecture 21: Naive Bayes
- Lecture 22: Perceptron
- Lecture 23: Kernels and Clustering
- Lecture 24: Advanced Applications (NLP, Games, Cars)
- Lecture 25: Advanced Applications (Computer Vision and Robotics)
- Lecture 26: Conclusion

The source files for all live in-lecture demos are being prepared for release, stay tuned.