Jul 19, 2018  
University Undergraduate Catalog 2017-2018 
    
University Undergraduate Catalog 2017-2018 [ARCHIVED CATALOG]

CEMA 4760 - Introduction to Machine Learning (3)


Prerequisites: C or better in CEMA 4340  and CEMA 4350 . A broad introduction to machine learning and statistical pattern recognition.  Topics include fundamental machine learning methods:  k-nearest neighbor, decision tree, naive Bayes, artificial neural networks, genetic algorithms, reinforcement learning, support vector machines.  Experimental methodologies will be covered including cross-validation, t-test, precision recall and ROC curves.


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