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.