Data Sciences and Operations 530:
Applied Modern Statistical Learning Methods (3.0 units)
Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.
- Prerequisite: DSO 545
- Note: Section 16279 is for MBAs and other graduate students. Please be mindful of registering for the correct section for your program. Section 16275 and 16276 are for MS Business Analytics students only.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16275D | 033 | Lecture | 6:30-9:30pm | Wednesday | 56 of 58 | Xin Tong | JKP210 |   | |
| 16276D | 033 | Lecture | 11:00-12:20pm | Mon, Wed | 31 of 56 | Xin Tong | JKP102 | | |
| 16279R | 033 | Lecture | 9:30-12:20pm | Tuesday | 13 of 56 | Robertas Gabrys | JKP104 | |