STAT 542

Fall 2021 Part of Term 1

Part of Term 1
Aug 23-Dec 8

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 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	50222	Lecture-Discussion	A1	1:00PM -1:50PM	MWF	Architecture Building	Liang, F	Part of Term: 1 Date Range: 08/23/21-12/08/21 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: 08/23/21-12/08/21 Section Info: This section has 0 capacity assigned, as it is listed as part of the online MCSDS program. Students in that program should enroll in the appropriate section of CS 598. 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.