[ ARCHIVED CATALOG ] 2022-2023 Undergraduate Academic Catalog 
    
    Dec 14, 2025  
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[ ARCHIVED CATALOG ] 2022-2023 Undergraduate Academic Catalog [ARCHIVED CATALOG]

RAI 480 - Fundamentals of Machine Learning

3 credits
Prerequisite(s): COM 465  
This course will provide students an in-depth introduction to the areas of Supervised and Unsupervised Machine Learning. The course will cover core machine learning algorithms for classification, regression, clustering, and dimensionality reduction Topics covered in the course include Neural Networks, Linear Discriminants, Multi-layer Perception, Radial Basis Functions and Splines, and Optimization and Search.


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