STAT 542 - Statistical Learning

Institution:

University of Illinois at Urbana-Champaign

Subject:

Description:

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. Prerequisite: STAT 410 and STAT 425.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.illinois.edu/

Phone Number:

(217) 333-1000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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