CSC 219 - Machine Learning

Institution:

California State University-Sacramento

Subject:

Description:

Introduction to major paradigms and methods of machine learning. Inductive learning, explanation-based learning, classifier systems and genetic algorithms, analogical reasoning, case-based learning, connectionist learning, data driven approaches to empirical discovery, and basis of learning theory. Focus is on representative systems that have been built. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.csus.edu

Phone Number:

(916) 278-6011

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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