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4255. Introduction to Statistical Learning

3.00 credits

Prerequisites: STAT 3115Q or instructor consent.

Grading Basis: Graded

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).

Last Refreshed: 24-SEP-21 AM
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Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Fall 2021 Storrs In Person Gu, Yuwen
Kpormegbey, Daniel
001 Reg TuTh 12:30pm‑1:45pm
BCH 443 14/40