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MACHINE LEARNING
MACHINE LEARNING
2018 Summer Term
3 Units
Computer Science 732
This course provides a broad introduction to machine learning and pattern recognition. Topics include but are not limited to Bayesian Inference, SVMs, Clustering and Classification, Decision Trees and Ensemble Methods. Particular focus will be placed on the theoretical understanding of these methods, as well as their practical applications.
Other Requirements: PREREQ: ADMISSION TO GRADUATE PROGRAM IN COMPUTER SCIENCE
Class Schedule
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