DTSC 3010 - Statistical Methods of Data Mining

Introduction to the statistical methods of data mining. Topics may include decision trees, principal component analysis, cluster analysis, discriminant analysis, nearest neighbor algorithms, EM algorithms, LASSO, logistic regression, factor analysis, neural networks, and association rules. Prerequisite(s): STAT 3810, MATH 1070 (or MATH 1070H), and CPSC 1710 (or PHYS 2510 or MATH 2510) (3)