STT 4640 - Machine Learning


Credit Hour(s): 3
Statistical models and computational algorithms are used to perform machine learning. Topics include classification and regression trees, bagging and boosting, resampling methods, bootstrapping, regularization, splines, random forest, principal component analysis. Software used for this course includes R.
Prerequisite(s): (Undergraduate level STT 3600 Minimum Grade of B or Graduate level STT 5600 Minimum Grade of B) and (Undergraduate level STT 3610 Minimum Grade of B or Graduate level STT 5610 Minimum Grade of B)
Level: Undergraduate
Schedule Type(s): Lecture

This course information is from the 2023-2024 Academic Catalog. View this catalog.
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