This the official website of STAT 546: Machine Learning in Data
Science. I am co-teaching this course with Prof. Feng Liang. This
website only contain the second half of this course. To get started,
please read the Course Syllabus. We meet at
112 Transportation Building on Tuesdays and Thursdays from 12:30pm to
1:50pm. Homework should be submitted to Gradescope. Entry
code is VB756J
.
Week | Topic |
---|---|
Week 8 (Mar 4 - Mar 8) | Introduction, Randomized Trial and Propensity Score |
Week 9 | Spring Break |
Week 10 (Mar 18 - Mar 22) | Robust Estimators and Instrumental Variables |
Week 11 (Mar 25 - Mar 29) | Estimating the Optimal Treatment Regime |
Week 12 (Apr 1 - Apr 5) | Dynamic Treatment Rules |
Week 13 (Apr 8 - Apr 12) | Markov Decision Process and Bellman Equation |
Week 14 (Apr 15 - Apr 19) | Algorithms for Policy Learning |
Week 15 (Apr 22 - Apr 26) | Other Topics in Reinforcement Learning |
Week 16 (Apr 29) | No Class |