DSAN 5300-02: Statistical Learning
Mondays 6:30-9pm, Car Barn 309
Welcome to the homepage for Section 02 (Mondays 6:30-9pm in Car Barn 309) of DSAN 5300: Statistical Learning at Georgetown University, for the Spring 2026 semester! This page is just for collecting slides, writeups, and links in one spot, and does not replace the course’s Canvas page!
If you’re looking to book an office hour with Jeff, you can use the link in the sidebar, or this direct link: the office hour blocks for Spring 2026 are held from 3:30-6:30pm every Tuesday.
NoteIrregular Lecture Days
There will be multiple non-Monday lectures this semester, due to holidays and breaks! Please keep in mind the following “special” days:
- Wednesday, January 7th: The first class session falls on a Wednesday, as the University follows a Monday schedule on this day
- Monday, January 19th: No class due to Martin Luther King, Jr. Day
- Tuesday, February 17th: This session falls on a Tuesday, as the University follows a Monday schedule this day (due to President’s Day on Monday, February 16th)
- Monday, March 2nd: No class due to Spring Break
- Monday, April 6th: No class due to Easter Break
Use the following links to view notes and lecture slides for individual weeks:
| Title | Date |
|---|---|
| Week 1: Introduction to the Course | January 7 |
| Week 2: Linear Regression | January 12 |
| Week 3: Getting Fancy with Regression | January 26 |
| Week 4: The Scourge of Overfitting | February 2 |
| Week 5: Cross-Validation for Model Assessment | February 9 |
| Week 6: Regularization for Model Selection | February 17 |
| Week 7: Basis Functions and Splines | February 23 |
| Week 8: Support Vector Machines | March 9 |
| Week 9: Generative vs. Discriminative Models | March 16 |
| Week 10: Deep Learning | March 23 |
| Week 11: How Do Neural Networks Deep-Learn? | March 30 |
| Week 12: Survival Analysis | April 13 |
| Week 13: Machine Learning for Causal Inference | April 20 |
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