Feb 18, 2020  
2018-19 Undergraduate Catalog 
    
2018-19 Undergraduate Catalog [ARCHIVED CATALOG]

MT 4420 - Statistical Learning


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This course is an introduction to the field of Statistical Learning. Students will work on relevant applications, learning and utilizing many important modeling and prediction methods, such as regression and classification methods, resampling methods, tree-based methods, support vector machines, clustering and neural networks. Students will do all computing in R, an open-source software environment for statistical computing and graphics.

Prerequisite: Prerequisite: A grade of C or better in MT 3400 .