Nov 27, 2020  
2014-2015 Undergraduate Catalog 
    
2014-2015 Undergraduate Catalog [ARCHIVED CATALOG]

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◎ DSCI 425 - Supervised Learning


(3 S.H.)

An introduction to machine or statistical learning techniques, covering both supervised and unsupervised methods. Supervised methods for both predicting both numeric and categorical responses will be the focus. Unsupervised learning methods such as clustering, association rules, and dimension reduction methods will be briefly discussed. Prerequisites: DSCI 210 - Data Science  and STAT 360 - Regression Analysis  or instructor’s permission. Grade and P/NC. Offered alternate years.



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