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 |
|---|---|---|---|---|---|---|---|---|---|
| 16275D | 033 | Lecture | 12:30-1:50pm | Tue, Thu | 24 of 35 | Robertas Gabrys | JKP104 |    |