STAT 542

Spring 2015 All Classes

All Classes

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.

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

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STAT 542 class schedule data for spring 2015
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	61880	Lecture	A1	12:00PM -12:50PM	MWF	156 Henry Administration Bldg	Lee, K	Part of Term: 1 Date Range: 01/20/15-05/06/15 Section Info: Restricted to Statistics Graduate Students until Dec 1, 2014. Some seats are reserved for incoming Statistics graduate students. If you receive a Reserved-Closed error, that means the course is full except for the reserved seats. Restriction(s): Restricted to Graduate - Urbana-Champaign.