Machine Learning

Catalog description

This course covers the theory and practice of machine learning articulating the basic concepts and functioning of machine learning as well as its deployment in the business context. Topics include clustering, decision trees, neural network learning, statistical learning methods, dimension reduction, kernel methods, and reinforcement learning.