CS 6780

Last Updated

  • Schedule of Classes - May 15, 2019 12:56PM EDT
  • Course Catalog - March 4, 2019 1:00PM EST

CS 6780
Advanced Machine Learning

Course information provided by the 2018-2019 Catalog.

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. 


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).

Permission Note Enrollment limited to: Ph.D. students or permission of instructor.

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 6780

  • 4 Credits Stdnt Opt

  • 17221 CS 6780   LEC 001

  •  

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 6780

  • 4 Credits Stdnt Opt

  • 18169 CS 6780   LEC 030

  •  

  • Instruction Mode: Distance Learning-Synchronous

    Taught in NYC. Enrollment limited to Cornell Tech Students. Class streamed from Ithaca.