CS 5350 - Machine Learning

Institution:

University of Utah

Subject:

Computer Science

Description:

This course covers techniques for developing computer programs that can acquire new knowledge automatically or adapt their behavior over time. Topics include several algorithms for supervised and unsupervised learning, decision trees, online learning, linear classifiers, empirical risk minimization, computational learning theory, ensemble methods, Bayesian methods, clustering and dimensionality reduction. Prerequisites: 'C-' or better in CS 3190 AND CS 3500 AND (Full Major status in Computer Science OR Software Development)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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