CS 189/289A: Intro to Machine Learning
UC Berkeley, Spring 2026
Wheeler 150, Tuesdays and Thursdays 2pm-3:30pm
Course staff email: cs189-instructors@berkeley.edu. This email is monitored by the instructors, the head TAs, and a few lead TAs.
Welcome to Week 3 of CS 189/289A!
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Schedule
| Wk. | Date | Lecture | Recommended Reading | Sections | HW |
|---|---|---|---|---|---|
| 1 |
Tue Jan 20 | 1. Introduction + ML problem framing |
No Section | ||
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Thu Jan 22 | 2. Data Tools PDF / Video |
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| 2 |
Tue Jan 27 | 3. Machine Learning Mechanics - Terminology and Techniques PDF / Video |
1. Discussion |
Homework 1
(due Fri Feb 20) Part 1: Written / Part 1: Coding / Part 2: Coding |
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Thu Jan 29 | 4. Clustering, Probability Review PDF / Video |
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| 3 |
Tue Feb 03 | 5. MLE and Multivariate Gaussians PDF / Video |
2. Discussion |
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Thu Feb 05 | 6. Multivariate Gaussians & Mixture of Gaussians PDF / Video |
Chapter 2.1, 2.2, 2.3.1, 2.3.2, 2.3.3. 3.1, 3.2.1. 15.1, 15.2 | |||
| 4 |
Tue Feb 10 | 7. Mixture of Gaussians & Linear Regression PDF / Video |
Chapter 1.2.1, 1.2.2, 1.2.3. 4.1.1, 4.1.4 | 3. Discussion |
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Thu Feb 12 | |||||
| 5 |
Tue Feb 17 | ||||
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Thu Feb 19 | |||||
| 6 |
Tue Feb 24 | ||||
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Thu Feb 26 |