CMSI 5350 Machine Learning

4 semester hours

Introduction to the concepts and methods of Machine Learning (ML) and tools and technologies that can be used to implement and deploy ML solutions. Supervised learning, unsupervised learning, reinforcement learning, and learning theory. Applications including speech recognition, control systems, and bioinformatics.

Prerequisites: ((CMSI 2120  or CMSI 3630 ) and MATH 251  and MATH 361 ) or (consent of instructor). 

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