CS109
Course Resources
Syllabus
Honor Code
Office Hours
Course Reader
Python Review
Latex Cheat Sheet
Midterm
Challenge
Problem Sets
1. Counting
2. Core Probability
3. Random Variables
4. Probabilistic Models
Lecture
1. Welcome
2. Combinatorics
3. Probability
4. Conditioning and Bayes
5. Independence
6. Random Variables
7. More Random Variables
8. Poisson
9. Continuous
10. Gaussian
11. Probabilistic Models
12. Inference
13. Modeling
14. General Inference & Beta
15. More Beta & Thompson Sampling
Section
Section 1
Section 2
Section 3
Section 4
Schedule
Section 4
July 24, 2024
Practice working joint distributions, normal distributions, and inference
Section Materials
Section Handout
Pset App Link