CS 6787

Last Updated

  • Schedule of Classes - June 21, 2024 12:50PM EDT
  • Course Catalog - June 6, 2024 12:59PM EDT

CS 6787
Advanced Machine Learning Systems

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

Graduate-level introduction to system-focused aspects of machine learning, covering guiding principles and commonly used techniques for scaling up to large data sets. Topics will include stochastic gradient descent, acceleration, variance reduction, methods for choosing metaparameters, parallelization within a chip and across a cluster, and innovations in hardware architectures. An open-ended project in which students apply these techniques is a major part of the course.


Prerequisites/Corequisites Prerequisite: CS 3780 or CS 4786.

Last 4 Terms Offered (None)

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • 10845 CS 6787   LEC 001

  •  
    • MW
    • Jan 21 - May 6, 2025

    • De Sa, C

  • Instruction Mode: In Person

    For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
    Enrollment limited to: graduate students.

  • 10846 CS 6787   PRJ 601

  •  
    • Jan 21 - May 6, 2025

    • De Sa, C

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • 11466 CS 6787   LEC 030

  •  
    • MW Cornell Tech
    • Jan 21 - May 6, 2025

    • De Sa, C

  • Instruction Mode: Distance Learning-Synchronous

    Enrollment limited to: Cornell Tech Doctor of Philosophy (PhD) students.

  • 11467 CS 6787   PRJ 630

  •  

  • Instruction Mode: Distance Learning-Synchronous