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Dec 21, 2024
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2019-2020 Graduate School Course Catalog [ARCHIVED CATALOG]
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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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