CS 6780

CS 6780

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

Gives a graduate-level introduction to machine learning and in-depth coverage of new and advanced methods in machine learning, as well as their underlying theory. Emphasizes approaches with practical relevance and discusses a number of recent applications of machine learning in areas like information retrieval, recommender systems, data mining, computer vision, natural language processing and robotics. An open research project is a major part of the course. 

When Offered Spring.

Permission Note Enrollment limited to: Ph.D. students or permission of instructor.
Prerequisites/Corequisites Prerequisite: programming skills (at the level of CS 2110) and basic knowledge of linear algebra (at the level of MATH 2940) and probability theory (at the level of MATH 4710) and multivariable calculus (at the level of MATH 1920).

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: CS 6780

  • 4 Credits Stdnt Opt

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: CS 6780

  • 4 Credits Stdnt Opt

  • 18169CS 6780  LEC 030

  • Instruction Mode: Distance Learning-Synchronous
    Taught in NYC. Enrollment limited to Cornell Tech Students. Class streamed from Ithaca.