STAT 542

Fall 2012 Part of Term 1

Part of Term 1
Aug 27-Dec 12

Statistical Learning

Credit: 4 hours.

Modern techniques of predictive modeling, classification, and clustering are discussed. Examples of these are linear regression, nonparametric regression, kernel methods, regularization, cluster analysis, classification trees, neural networks, boosting, discrimination, support vector machines, and model selection. Applications are discussed as well as computation and theory.

Prerequisite: STAT 410 and STAT 425.

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STAT 542 class schedule data for fall 2012
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	50222	Lecture	L1	12:30PM -1:50PM	TR	161 Noyes Laboratory	Liang, F	Part of Term: 1 Date Range: 08/27/12-12/12/12 Restriction(s): Restricted to Graduate - Urbana-Champaign.