CS 5781

Last Updated

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

CS 5781
Machine Learning Engineering

Course information provided by the 2020-2021 Catalog.

Machine learning systems are increasingly being deployed in production environments, from cloud servers to mobile devices. This course will focus on challenges inherent to engineering machine learning systems to be correct, robust, and fast. Assignments will be project focused, with students building and deploying systems for applications such as text analysis and recommendation systems. In addition to machine learning models, practical topics will include: tensor languages and auto-differentiation; model debugging, testing, and visualization; compression and low-power inference. Guest lectures will cover current topics from local ML engineers.


Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent programming experience.

Permission Note Enrollment limited to: Cornell Tech Students.

When Offered Fall.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  • 18656 CS 5781   LEC 030

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  • Instruction Mode: Distance Learning-Asynchronous

    Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech Students.