CS 6787

Last Updated

  • Schedule of Classes - February 16, 2018 10:59AM EST
  • Course Catalog - February 12, 2018 11:18AM EST

CS 6787
Advanced Machine Learning Systems

Course information provided by the Courses of Study 2017-2018.

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.

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Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 18241 CS 6787   LEC 001

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