Courses of Study 2021-2022 
    
    Aug 17, 2022  
Courses of Study 2021-2022 [ARCHIVED CATALOG]

Add to Favorites (opens a new window)

CS 4786 - [Machine Learning for Data Science]


(SDS-AS)      
Spring. Not offered: 2021-2022. Next offered: 2022-2023. 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). 



Add to Favorites (opens a new window)