CIS 378 - Applied Machine Learning

Institution:

Grand Valley State University

Subject:

Description:

Introduction to machine learning algorithms that learn and improve through experience. This course covers the algorithms, best practices, and use of machine learning methods on real-world applications. Topics include supervised learning, unsupervised learning, dealing with high-dimensional data, and deep learning. Offered winter semester. Prerequisites: CIS 263 and STA 215.

Credits:

3.00

Credit Hours:

Prerequisites:

Prerequisites: CIS 263 and STA 215.

Corequisites:

Exclusions:

Level:

Instructional Type:

Other

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.gvsu.edu

Phone Number:

(616) 331-2020

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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