Aug 21, 2019  
2019-2020 Undergraduate Catalog 
    
2019-2020 Undergraduate 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.


Click here for the Fall 2019 Class Schedule