May 17, 2022  
2020-2021 Graduate Catalog 
    
2020-2021 Graduate Catalog [ARCHIVED CATALOG]

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DS 7335 - Machine Learning II


Credits: 3

An elective, theoretical course in Machine Learning providing an overview of multivariate nonlinear nonparametric regression, supervised classification, unsupervised classification, and deep learning. Begins with a portfolio of case studies to give an overview of the type of things that can be done with machine learning. Each area of machine learning is introduced with a description of how to test its performance. This is followed by hands on exercises. Learning through doing is the key goal of this class. Prerequisite: DS 7331 .



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