This course introduces machine learning concepts. Topics include supervised learning algorithms (linear regression, logistic regression), unsupervised learning algorithms (clustering), model selection, decision trees, and evaluation. We will focus on the mathematics behind these techniques. Prerequisite(s): CS 50 and MATH 115.