CMSC 403 - Machine Learning

Institution:

Shippensburg University of Pennsylvania

Subject:

Description:

This introductory course gives an overview of machine learning. This is a wide ranging field including topics such as: classification, linear regression, Principal Component Analysis (PCA), neural networks, bagging and boosting, support vector machines, hidden Markov models, Bayesian networks, Q-learning, reinforcement learning.

Credits:

4.00

Credit Hours:

Prerequisites:

CMSC 310 and (MATH 117, MATH 217, or MATH 375)

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

08/15/2018 - 08/25/2024 

Institution Website:

www.ship.edu/

Phone Number:

(717) 477-7447

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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