STAT 577 - Applied Statistical Machine Learning

3 Credit Hours
An applied introduction to machine learning methods, including decision trees, support vector machines, neural networks, clustering, and association rules. Emphasizes data preparation, conceptual understanding, model evaluation, and practical applications across disciplines.
Registration Restriction(s): Minimum student level – graduate.


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