CS 4375 - Introduction to Machine Learning

Institution:

The University of Texas at Dallas

Subject:

Description:

Algorithms for creating computer programs that can improve their performance through learning. Topics include: cross-validation, decision trees, neural nets, statistical tests, Bayesian learning, computational learning theory, instance-based learning, reinforcement learning, bagging, boosting, support vector machines, Hidden Markov Models, clustering, and semi-supervised and unsupervised learning techniques. Prerequisites: CS/SE 3341 and CS/SE 3345. (3-0) Y

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utdallas.edu

Phone Number:

(972) 883-2111

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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