STAT 542

Fall 2016 Part of Term 1

Part of Term 1
Aug 22-Dec 7

Statistical Learning

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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.

Same as CSE 542. Prerequisite: STAT 410 and STAT 425.

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STAT 542 class schedule data for fall 2016
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	50222	Lecture	A1	2:00PM -3:20PM	TR	Noyes Laboratory	Zhu, R	Part of Term: 1 Date Range: 08/22/16-12/07/16 Restriction(s): Restricted to Graduate - Urbana-Champaign.