Apr 17, 2024  
2023-2024 General/Graduate Catalog - Expires August 2029 
    
2023-2024 General/Graduate Catalog - Expires August 2029 [Archived Catalog]

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PDAT 615G - Machine Learning


This course introduces the theory and practice of machine learning. Statistical learning techniques such as regression, regularization, and principal component analysis are covered. Programming in a popular machine learning language such as R is reviewed. Approaches such as neural networks, support vector machines, unsupervised learning, and reinforcement learning are covered.

Prerequisite: Successful completion of PDAT 610G - Introduction to Data Science . Graduate Students Only.
Credit(s): 3



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