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steviep42 edited this page Jan 14, 2020
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Check The Side Bar for the Syllabus and Schedule
This course covers fundamental machine learning theory, method, algorithms and techniques. The topics include basic theory, classification methods, model generalization, clustering, and dimension reduction. The material will be conveyed by a series of lectures and projects.
Emory University - Department of Biostatistics and Bioinformatics