CS 6655 - Machine Learning

Institution:

Utah State University

Subject:

Computer Science

Description:

This course provides a practical and mathematical introduction to machine learning techniques and principles in supervised and unsupervised settings. Students learn to understand machine learning research papers and gain the practical experience to implement machine learning approaches on real data. Prerequisites/Restrictions: Graduate standing or: MATH 1220 STAT 3000 or MATH 5710 (MATH 5710 preferred) MATH 2210 or MATH/STAT 5645/6645 (MATH/STAT 5645/6645 preferred) MATH 2270 or MATH/STAT 5645/6645 (MATH/STAT 5645/6645 preferred) Experience programming in Python, R, or Matlab is essential for success in the course Cross listed as: STAT 6655

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.usu.edu

Phone Number:

(435) 797-1000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.