STA 588 - Introduction to Statistical Data Mining

This is an introductory course in statistical data mining and machine learning. The course emphasizes the understanding and application of data mining and machine learning methods and algorithms. Topics include both supervised and unsupervised learning algorithms for clustering and classification. Some advanced algorithms such as boosting, bootstrap aggregation, random forests, shrinkage regression, principal component, and factor analysis will also be covered. Applications to real-world data will be illustrated using standard computer packages.

Prerequisite(s): MAT 282 or permission of instructor.
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Statistics