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This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...
This course examines structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation...
This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.
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