STAT 542

Fall 2015 All Classes

All Classes

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 2015
CRN Type Section Time Day Location Instructor Section Details
50222
Lecture
L1
2:00PM -3:20PM
TR
253 Mechanical Engineering Bldg
Liang, F
Part of Term:
1
Date Range:
08/24/15-12/09/15
Section Info:
Early registration is restricted to Statistics Graduate Students. This restriction is expected to be removed sometime during the business day May 5, 2015. 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.
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