CS 6787

Last Updated

  • Schedule of Classes - March 3, 2021 7:15PM EST
  • Course Catalog - March 3, 2021 7:16PM EST

CS 6787
Advanced Machine Learning Systems

Course information provided by the Courses of Study 2020-2021.

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.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 4780 or CS 4786.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 11234 CS 6787   LEC 001

  •  

  • Instruction Mode: In Person Transition to Online
    Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 20095 CS 6787   LEC 002

  •  
    • MW Online Meeting
    • Sep 2 - Dec 16, 2020

    • De Sa, C

  • Instruction Mode: Online
    Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.