Apr 23, 2024  
2017-2018 Undergraduate Catalog 
    
2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]

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STAT 4217 - Statistical Machine Learning

(3 credits)
Prerequisites: MATH 2050  or equivalent, or permission of instructor. Provides a broad but thorough introduction to the methods and practice of statistical machine learning. Techniques covered include nearest neighbor classifiers, random forests, density estimation, basis functions, decision trees, cluster analysis, and support vector machines, with focus on intuitive understanding and applications of these methods, rather than theoretical development.


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