CS 5781

CS 5781

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

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.

When Offered Fall.

Permission Note Enrollment limited to: Cornell Tech Students.
Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent programming experience.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 18656CS 5781  LEC 030

  • Instruction Mode: Distance Learning-Asynchronous
    Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech Students.