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. Open only to business students. Duplicates credit in former IOM 530.
- Restriction: Registration open to the following major(s): Medicine/Business Administration, Optimization and Supply Chain Management, Accounting, Business Administration, Business Administration/Dental Surgery, 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 Research, Business Taxation, Gerontology/Business Administration, Juris Doctor/Business Administration
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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16272R | 033 | Lecture | 2:00-3:20pm | Tue, Thu | 36 of 52 | Abbass Sharif | JKP112 | PDF (88014 KB) |