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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