CS 4780

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  • Schedule of Classes - November 13, 2024 8:41AM EST
  • Course Catalog - November 12, 2024 10:26AM EST
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CS 4780
Introduction to Machine Learning

Course information provided by the 2023-2024 Catalog.

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.


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).

Fees Course fee: $30.

Distribution Category (SDS-AS)

When Offered Fall, Spring.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Opt NoAud

  •  9428 CS 4780   LEC 001

  •  
    • TR Uris Hall G01
    • Jan 22 - May 7, 2024

    • Sridharan, K

      Weinberger, K

  • Instruction Mode: In Person

    Enrollment limited to CS students only. All others should add themselves to the waitlist in January during add/drop.

  • 16639 CS 4780   PRJ 601

  •  
    • TBA
    • Jan 22 - May 7, 2024

    • Staff

  • Instruction Mode: In Person