Description: Introduces formalisms and methods in data mining and machine learning. Topics include data representation, supervised learning, and classification. Covers regression and clustering. Also covers rule learning, function approximation, and margin-based methods.
Derived Information — The following is not part of the official catalog but is computed from catalog data.