MATH 318 Statistical Learning
This course introduces statistical learning methods with emphasis on analysis of categorical data and application to real data sets. Students learn different types of regression models (linear, logistic and nonparametric). Classification methods (discriminant analysis and support vector machines) are presented along with dimensionality reduction techniques (principal component analysis and clustering). Resampling techniques and model selection methods are also discussed.
Prerequisite
( MATH214, or MATH346), MATH231,( MATH245, or MATH345)
Distribution
3-0-3Offered
Fall Spring