STATISTICAL DATA MINING

Catalog description

An introductory course to statistical data mining. It covers some fundamental concepts, popular techniques, and algorithms in statistical data mining. Topics include: supervised learning, unsupervised learning, probabilistic reasoning, regression, and nearest-neighbors, classification, model selection, component analysis, random forest, support vector machine, and clustering.