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Undergraduate Record 2024-2025
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STAT 4630 - Statistical Machine Learning
Effective Date 08/01/2022
This course introduces various topics in machine learning, including regression, classification, resampling methods, linear model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. The statistical software R is incorporated throughout. Prerequisite: A prior course in regression and a prior course in programming.
Requisites Students must have completed ONE of STAT 3220, STAT 4120, STAT 5120, ECON 3720, ECON 4720, SYS 4021 & ONE of STAT 1601, STAT 1602, STAT 3080, STAT 3250, CS 1110, CS 1111, CS 1112, CS 1113
Credits: 3
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