Applied Machine Learning

CT Score

1500

#0 of 0 in CAS CS

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Median grade

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By professor: same course, different game

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In the tree

CS111 (CS112 recommended); CS132 or MA242 (or EK103); CS237 or MA581 ( or EK381.) CS365 is recommended. - Covers practical skills in machine learning including techniques for clustering, classification, regression, feature selection, and model compression. Emphasizes hands-on application of methods via programming on real- world datasets→CAS CS 541→unlocks 1 courses

1 mapped course lists CAS CS 541 as a prerequisite. See on the map →

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