CS 5780

CS 5780

Course information provided by the 2015-2016 Catalog.

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.


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.

When Offered Fall.

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 12716 CS 5780   LEC 001

  • Instruction Mode: In Person

    Enrollment limited to: MEng standing required.