Carnegie Mellon University

Statistical Machine Learning I

Professor: Chad Schafer

Department: Statistics

Course Number: 46926

Description: The first in a two-part sequence covering statistical machine learning aimed at quantitative finance. This first course covers tools and approaches for prediction, including both regression and classification. The focus is on understanding the foundations of the methods so that they can be both applied and modified. Topics include foundations of supervised learning, bias-variance tradeoffs, model validation and assessment, regularized and nonparametric re-gression, generalized additive models, support vector machines, and tree-based methods.

Prerequisites: 46923