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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 05.20.21.147837 AM
|1218 13305 1 001||Fall 2021||Storrs||In Person||Gu, Yuwen