Georgia Institute of Technology College of Sciences

This course introduces the essential statistical theory for machine learning. The course focuses on the theory of statistical inference and statistical learning, providing a rigorous treatment of a range of estimation and prediction problems. These include, for example, linear regression, classification, matrix estimation, nonparametric statistics, and neural networks. The course is theoretical and is intended for students who are interested in mathematical and statistical foundation of machine learning.