CS 4787

Last Updated

  • Schedule of Classes - June 11, 2025 2:48PM 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.


Distribution Requirements (SMR-AS)

Last 3 terms offered 2023FA, 2022FA, 2021SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 5777

  • 4 Credits Opt NoAud

  • 19540 CS 4787   LEC 001

  •  
    • MW
    • 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/