Mar 23, 2023  
2020-2021 Academic Catalog 
2020-2021 Academic Catalog [ARCHIVED CATALOG]

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STA 3241 - Statistical Learning

Credits: 3

Prerequisites: QMB 3200 - Advanced Quantitative Methods  or (MAS 3114 - Computational Linear Algebra  and STA 2023 - Statistics 1  ) 

Course Description: This is an introductory-level course in supervised learning. Topics include classification and regression, cross-validation and bootstrap, model selection, dimension reduction, tree-based methods, random forests and boosting, support-vector machines, principal components, and cluster analysis. Students will have hands-on experience in model building, machine learning, and implementation.

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