CS 5780

CS 5780

Course information provided by the Courses of Study 2015-2016.

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 Fall.

Prerequisites/Corequisites Prequisite: 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.

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 12716 CS 5780   LEC 001

  • Enrollment limited to: MEng standing required.