CPSC 8420 - Advanced Machine Learning

Institution:

Clemson University

Subject:

Computer Science

Description:

Covers the use of algorithms in machine learning, including decision trees, Bayesian learning, genetic algorithms, and reinforcement learning. This course also covers basic theoretical concepts, such as Occam's razor, inductive bias, VC dimension, and PAC learnability. Students are expected to have familiarity with programming, linear algebra, and statistics before enrolling in this course.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.clemson.edu

Phone Number:

(864) 656-4636

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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