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CS4654: Intermediate Data Analytics and Machine Learning

A technical analytics course.  Covers supervised and unsupervised learning strategies, including regression, generalized linear models, regularization, dimension reduction methods, tree-based methods for classification, and clustering. Upper-level analytical methods shown in practice, e.g., advanced naive Bayes and neural networks.  Cross-listed with CMDA 4654 and STAT 4654. (3H, 3C)

Prerequisite: CMDA 2006 or equivalent.