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.
- Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Education, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Real Estate Development, Business Administration/Social Work, Business Administration/Planning, Business Research, Business Taxation, Business Analytics, Gerontology/Business Administration, Business Administration, Global Supply Chain Management, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Marketing, Optimization and Supply Chain Management, Social Entrepreneurship, Accounting (Data and Analytics)
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
- Note: Sections 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 | 52 of 52 (3 on waitlist) | Xin Tong | JKP102 |    | |
| 16276D | 033 | Lecture | 11:00-12:20pm | Mon, Wed | 44 of 44 | Xin Tong | JKP210 | |