CS 6780

Last Updated

  • Schedule of Classes - June 22, 2015 4:42PM EDT
  • Course Catalog - June 11, 2015 6:21PM EDT

CS 6780
Advanced Machine Learning

Course information provided by the 2014-2015 Catalog.

Gives a graduate-level introduction to machine learning and statistical pattern recognition 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, such as data mining, computer vision, robotics, text and web data processing. An open research project is a major part of the course.


Prerequisites/Corequisites Prerequisites: 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: PhD students, or by permission of instructor.

When Offered Spring.

Comments Students who have already taken CS 4780/CS 5780 should not take this class.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 6780

  • 4 Credits Stdnt Opt

  • 16868 CS 6780   LEC 001

  • Instruction Mode: In Person

    Enrollment limited to: PhD students.

    Instructor Consent Required (Add)

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 6780

  • 4 Credits Stdnt Opt

  • 16869 CS 6780   LEC 002

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  • Instruction Mode: Distance Learning - WWW

    Enrollment limited to: students enrolled at the Cornell Tech campus. Offered in NYC via distance learning.