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Aug 30, 2024
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2024-2025 Academic Catalog
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STT 6640 - Machine Learning Credit Hour(s): 3
Course Description: Classification. Resampling methods including bootstrapping. Regularization. Splines. Classification and regression trees. Bagging and boosting. Random forest. Unsupervised learning including principal component analysis. Software used for this course includes R.
Prerequisite(s): Graduate level STT 5600 Minimum Grade of C and Graduate level STT 5610 Minimum Grade of C
Enrollment Restrictions: Must be enrolled in one of the following levels: Graduate, Medical, Professional.
Course Level: Graduate Schedule Type(s): Lecture
Grade Mode: Standard Term(s) Offered: Fall, Spring, Summer
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