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STAT 6615: Statistical Learning and Optimization
Computationally intensive statistical learning methods with optimization techniques: classification, discriminant analysis, (generalized) additive models, boosting, regression trees, regularized regression, principal components, support vector machines, and (deep) neural networks.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- Instructor consent and intermediate courses in mathematical and applied statistics.
Spring 2027 sections
Taught by Yuwen Gu.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 9:30AM - 10:45AM / TuTh | Yuwen Gu | Storrs | AUST 103 | 39 of 40 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.