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STAT 4255: Introduction to Statistical Learning
Modern statistical learning methods arising frequently in data science and machine learning with real-world applications: linear and logistic regression, generalized additive models, decision trees, boosting, support vector machines, and neural networks (deep learning).
- Credits
- 3
- Offered
- Fall 2026
- Campuses
- Storrs
- Requirements
- STAT 3115Q or STAT 3215Q; MATH 2210Q, which may be taken concurrently; or instructor consent. Recommended preparation: Background in computer programming is preferred, but not required.
Fall 2026 sections
Taught by Yan Xu and Yuwen Gu.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:00AM - 12:15PM / TuTh | Yan Xu, Yuwen Gu | Storrs | GENT 140 | 0 of 35 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.