Applied Statistical Learning. 3 credits

Catalog description

Tools for the analysis of massive data sets. Topics include: regression, classification trees, clustering, and support vector machines. Extensive use of statistical software. Applications to business, finance, biology, and other sciences and engineering. Notes: Students may not receive credit for both STAT 472 and STAT 572 . Offered by Statistics . May not be repeated for credit.