Applied Statistical Learning

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. Cannot be used to satisfy requirements for MS in Statistical Science without prior written approval of the graduate program director.