Machine Learning

Catalog description

This course provides an overview of basic concepts and techniques related to machine learning. Topics include supervised and unsupervised learning techniques, kernel smoothing methods, principal component analysis, clustering, high dimensional data problems, random forests, neural networks, and support vector machines.