CS 4780

Last Updated

  • Schedule of Classes - January 15, 2024 7:50PM EST
  • Course Catalog - January 15, 2024 7:28PM EST

CS 4780
Introduction to Machine Learning

Course information provided by the Courses of Study 2023-2024.

The course provides an introduction to machine learning, focusing on supervised learning and its theoretical foundations. Topics include regularized linear models, boosting, kernels, deep networks, generative models, online learning, and ethical questions arising in ML applications.

When Offered Fall, Spring.

Fees Course fee: $30.
Prerequisites/Corequisites Prerequisite: CS 2800, probability theory (e.g. BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700) and linear algebra (e.g. MATH 2940), calculus (e.g. MATH 1920) and programming proficiency (e.g. CS 2110).

Distribution Category (SDS-AS)

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 5780

  • 4 Credits Stdnt Opt

  •  7818 CS 4780   LEC 001

  •  
    • TR Bailey Hall 101
    • Aug 21 - Dec 4, 2023

    • Sun, W

  • Instruction Mode: In Person
    Enrollment limited to CS students only. All others should add themselves to the waitlist during add/drop. See enrollment webpage for more details: https://www.cs.cornell.edu/courseinfo/enrollment/cs-4000-5000-level-courses

  • 19155 CS 4780   PRJ 601

  •  
    • TBA
    • Aug 21 - Dec 4, 2023

    • Sun, W

  • Instruction Mode: In Person