MATH 214 Unsupervised Machine Learning
This course gives an overview of machine learning techniques that are commonly applied to unlabeled data sets. It provides an introduction to the K-means Clustering and Hierarchical Clustering algorithms as well as the use of Principal Component Analysis. Prerequisites: DSCI 230, MATH 208, and MATH 211. Three credit hours.