DSCI 415 - Unsupervised Learning

(3 S.H.)

An introduction to machine or statistical learning techniques for finding structure in large complex data. Unsupervised learning methods such as clustering, association rules, text mining, recommender systems and dimension reduction methods will be discussed. Prerequisites: ◆ DSCI 325 - Management of Structured Data or instructor permission. Grade or P/NC. Offered fall semester alternate years.

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