Courses of Study 2020-2021 
    
    Jul 28, 2021  
Courses of Study 2020-2021 [ARCHIVED CATALOG]

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CS 4786 - Machine Learning for Data Science


(SDS-AS)      
Spring. 4 credits. Student option grading.

Prerequisite: probability theory (BTRY 3080 , ECON 3130 , MATH 4710 , or strong performance in ENGRD 2700  or equivalent); linear algebra (strong performance in MATH 2940  or equivalent); CS 4780 CS 2110  or equivalent programming proficiency. Co-meets with CS 5786 .

Staff.

An introduction to machine learning for data-science applications. Topics include dimensionality-reduction (such as principal components analysis, canonical correlation analysis, and random projection); clustering (such as k-means and single-link); probabilistic modeling (such as mixture models and the EM algorithm). 



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