Announcements

- How to prepare for the course? See here for some guidance.
- First class: Friday, September 8, see 2023-2024 academic calendar
- Thanksgiving break: November 23-24, no class on November 24
- Midterm exam: Week 8, Tuesday, in class.
- Final exam: Friday, December 8, in class
- Mini project report due: Monday, December 11
- This class will be held on ground.

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Last updated: September 26, 2023

Weekly Schedule

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Week 3, September 18 ☀️

Topics

- Basics of parameter estimation
- Prediction
- Naive Bayes models ☀️
- Principles of optimization ☀️

Reading materials

- Lecture notes (Radivojac & White): parameter estimation
- Lecture notes (Radivojac & White): prediction
- Lecture notes (Radivojac & White): optimization ☀️

Handouts and code

Homework assignment

- Assignment #1 available here

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Week 2, September 11

Topics

- Probability theory
- Random variables

Handouts and code

- Random variables slides

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Week 1, September 4

Topics

- Class overview and logistics
- Probability theory

Reading materials

- Textbook #1 (Bishop): Introduction (Chapter 1)
- Lecture notes (Radivojac & White): probability

Handouts and code

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