CSC 483 - Machine Learning Fundamentals

Institution:

Dakota State University

Subject:

Description:

This course will study computer algorithms that automatically improve with experience. Applications range from discovering general rules in data sets to intelligent information filtering of search systems that adapt users' interests. Topics may include: decision trees, artificial neural networks. Bayesian learning, genetic algorithms, support vector systems, and case-based learning. Prerequisite: CSC 300 and MATH 315 or instructor approval. 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.dsu.edu

Phone Number:

(605) 256-5111

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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