Course: CAAM 37711=STAT 37711, DATA 37711
Title: Machine Learning 1
Instructor(s): Victor Veitch
Class Schedule: TR 11:00 AM-12:20 PM in Ryerson 251
Description: This course is a graduate level introduction to machine learning. We will cover both practical and (probabilistic) foundational aspects of the subject. Topics include empirical risk minimization and overfitting, regression, ensembling, as well as selected topics on representation learning and structure learning.