STAT 4115: Statistical Machine Learning

University of North Carolina, Charlotte

Introduces statistical fundamentals of machine learning methods with a focus on theory and applications. Topics include regressions, classifications, clustering, principal component analysis, factor analysis, independent component analysis, graphical models, and support vector machines. Emphasis is placed on both theoretical understanding and practical implementation, with hands-on experience in R.