CS 6787

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

CS 6787
Advanced Machine Learning Systems

Course information provided by the 2026-2027 Catalog.

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 background equivalent to: CS 3780 or CS 4786.

Enrollment Information Enrollment limitations vary by section.

Last 4 Terms Offered 2026SP, 2024SP, 2021FA, 2020FA

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  7144 CS 6787   LEC 001

  •  
    • MW
    • Jan 25 - May 11, 2027

    • De Sa, C

  • Instruction Mode: In Person

    Priority given to: Computer Science graduate and professional students; remaining seats open to other students during the add period.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  7145 CS 6787   LEC 030

  •  
    • MW
    • Jan 25 - May 11, 2027

    • De Sa, C

  • Instruction Mode: Distance Learning-Synchronous

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