DSA 401 - Applied Machine Learning, 3 credit hours

Prerequisite(s): CSC 280 and MTH 235
This course focuses on the use and application of machine learning tools, techniques, and algorithms to data analysis. We will explore the three main branches of machine learning: supervised, unsupervised, and reinforcement learning. We will examine common algorithms and applications to data analysis/prediction. You will gain hands-on, practical experience working with existing machine learning libraries to solve problems of interest.