Introduction to Machine Learning ((3 Units))

Catalog description

Prerequisite: Prior course in applied statistics. Methodologies for statistical learning, including generalized logistic regression, ridge regression, neural networks, support vector machines, principal components analysis, and K-means and hierarchical clustering (Formerly 3470:584)