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Cornell University    
 
    
 
  Dec 10, 2017
 
Courses of Study 2017-2018
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CS 4780 - Machine Learning for Intelligent Systems


     
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 (MATH 1920  or equivalent); CS 2110  or equivalent programming proficiency. Co-meets with CS 5780 . This course can be taken independently or in any order with CS 4786 /CS 5786 .

Staff.

An introduction to machine learning for intelligent systems (e.g. search engines, recommender systems, ad placement). Topics include supervised learning, statistical learning theory, and online learning.



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