CS 5785

CS 5785

Course information provided by the Courses of Study 2015-2016.

Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. Gain working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, and dimensionality reduction.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 2800 or the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 13628 CS 5785   LEC 031

  • Enrollment limited to students enrolled at Cornell Tech - offered in NYC.