MATH 624 Introduction to Statistical Learning

Supervised learning: classification, linear discriminant analysis, quadratic discriminant analysis, multiple discriminant analysis, model selection regularization, bootstrap methods. Unsupervised learning: principal component analysis, canonical correlation, clustering methods. Prerequisite: MATH 620 or DSCI 602 or permission of the department chairperson.

Credits

3