Principles of Machine Learning

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1500

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(CASCS365) - Introduction to modern machine learning concepts, techniques, and algorithms. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. Programming assignments emphasize taking theory into practice, through applications on real-world data sets→CAS CS 542→unlocks 2 courses

2 mapped courses list CAS CS 542 as a prerequisite. See on the map →

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