CMSC 35400 - Machine Learning

Institution:

University of Chicago

Subject:

Description:

PQ: CMSC 25000/35000 or consent of instructor. This course is an introduction to the theory and practice of machine learning that emphasizes statistical approaches to the problem. Topics include pattern recognition, empirical risk minimization and the Vapnik Chervonenkis theory, neural networks, decision trees, genetic algorithms, unsupervised learning, and multiple classifiers. P. Niyogi. Spring.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.UCHICAGO.EDU

Phone Number:

(773) 702-1234

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Quarter

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