Aug 05, 2020  
Graduate School Course Catalog 2015-2016 
Graduate School Course Catalog 2015-2016 [ARCHIVED CATALOG]

CISG 5760 - Machine Learning (3)

Prerequisites: COMP 2810 or equivalent. An introduction to basic machine learning theories and learning algorithms. Topics include fundamental machine learning methods: k-nearest neighbor, decision tree, naïve Bayes, artificial neural networks, genetic algorithms, and reinforcement learning. Some basic machine learning theories such as PAC learnability and Vapnik-Chervonenkis dimension will be introduced. Experimental methodologies will be covered, including cross-validation, t-test, precision recall, and ROC curves.

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