CS 4780

CS 4780

Course information provided by the Courses of Study 2019-2020.

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.

When Offered Fall.

Prerequisites/Corequisites 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.

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: CS 5780

  • 4 Credits Stdnt Opt

  • 12632 CS 4780   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.