CS 346 Machine Learning

This course introduces various approaches to Machine Learning, including supervised and unsupervised methods, classification, clustering, and association with emphasis on evaluation of appropriate methods. Students will explore the appropriate use and differences of various algorithms using SPSS or R.

Credits

4

Prerequisite

CS 112, STAT 228, and either STAT 229 or STAT 239

Corequisite

MATH 211