MA 322 — Statistics, Machine Learning, and Data Mining
3 credits; 3 lecture hours
This is an introduction to statistical techniques for machine learning and data mining. It emphasizes mathematical methods and computer applications related to automated learning for prediction, classification, knowledge discovery, and forecasting in modern data science. An appropriate programming language such as R or python will be used.
Prerequisite(s): MA 222 and mathematic proficiency (see beginning of Mathematics section).