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. Web registration open only to graduate business students. Duplicates credit in former IOM-530.
- Restriction: Registration open to the following major(s): Accounting, Business Administration, Business Administration/East Asian Area Studies, Business Administration/Education, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Planning, Business Administration/Real Estate Development, Business Administration/Social Work, Business Analytics, Business Research, Business Taxation, Gerontology/Business Administration, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Optimization and Supply Chain Management
- Note: Business Analytics Students Only
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16275R | 033 | Lecture | 6:30-9:30pm | Wednesday | 37 of 52 | Robertas Gabrys | JKP102 |   |