STAT 542

Spring 2017 Part of Term 1

Part of Term 1
Jan 17-May 3

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 spring 2017
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	61880	Lecture	A1	10:00AM -10:50AM	MWF	Noyes Laboratory	Liang, F	Part of Term: 1 Date Range: 01/17/17-05/03/17 Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Graduate - Urbana-Champaign.