The University of Texas at Austin 3 credits Engineering Mechanics
Discuss machine learning algorithms, including linear models, kernel machines, tree-based algorithms, density estimation, clustering, dimensionality reduction and deep neural networks; foundations of machine learning, including optimization theory, probability theory, advanced linear algebra, statistics; evaluation of machine learning methods; and convolutational neural networks. Engineering Mechanics 397 (Topic: Intro to Machine Learning) and 397 (Topic 6) may not both be counted. Also offered as 697.6, 997.6 for different credit.
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