DAT 315 - Machine Learning

2.00 credits.

An overview of machine learning techniques using R. Topics include an introduction to programming in R, the use of nearest neighbor and naive Bayes algorithms, support vector machines, hidden Markov models, and market basket analysis as well as model evaluation and improvement. *Prerequisite(s): MA 252, and CS 113 or CS 121.