STAT 542

Fall 2020 Part of Term 1

Part of Term 1
Aug 24-Dec 9

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 ASRM 551 and CSE 542. 4 graduate hours. No professional credit. Prerequisite: STAT 410 and STAT 425.

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STAT 542 class schedule data for fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	50222	Online	A1	1:00PM -1:50PM	MWF	n.a.	Zhu, R	Part of Term: 1 Date Range: 08/24/20-12/09/20 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.
	70265	Online	PSO	ARRANGED	n.a.	n.a.	Liang, F	Part of Term: 1 Date Range: 08/24/20-12/09/20 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. Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.