CS 4787

Last Updated

  • Schedule of Classes - March 17, 2025 8:55AM EDT

CS 4787
Principles of Large-Scale Machine Learning Systems

Course information provided by the 2025-2026 Catalog.

An introduction to the mathematical and algorithms design principles and tradeoffs that underlie large-scale machine learning on big training sets. Topics include: stochastic gradient descent and other scalable optimization methods, mini-batch training, accelerated methods, adaptive learning rates, parallel and distributed training, and quantization and model compression.


Prerequisites REF-FA25/Corequisites REF-FA25 CS 3780/CS 5780, CS 2110 or equivalents. Corequisites: None.

Distribution Requirements (SMR-AS)

Last 4 terms offered (None)

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 5777

  • 4 Credits Stdnt Opt

  • 19540 CS 4787   LEC 001

  •  
    • Aug 25 - Dec 8, 2025

    • De Sa, C

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/