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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