CS 5780

CS 5780

Course information provided by the Courses of Study 2018-2019.

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. This course can be taken independently or in any order with CS 4786/CS 5786.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: probability theory (BTRY 3080, ECON 3130, MATH 4710, or strong performance in ENGRD 2700 or equivalent); linear algebra (MATH 2940 or equivalent); CS 2110 or equivalent programming proficiency.

Comments Co-meets with CS 4780.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: CS 4780

  • 4 Credits Stdnt Opt

  • 17584 CS 5780   LEC 001

  • Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.