CSCE A415 - Machine Learning

Institution:

Kenai Peninsula College

Subject:

Computer Sci & Computer Eng

Description:

In-depth survey of basic and advanced concepts of machine learning. Topics include linear discrimination; supervised, unsupervised and semi-supervised learning; multilayer perceptrons; maximum-margin methods; Monte Carlo methods; and reinforcement learning. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A615. May be stacked with: CSCE A615

Credits:

3.00

Credit Hours:

Prerequisites:

CSCE A311 UA C (AND STAT A253 UA C OR STAT A307 UA C )

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.kpc.alaska.edu

Phone Number:

(877) 262-0330

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