CS 5785

CS 5785

Course information provided by the Courses of Study 2014-2015.

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 Spring.

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

Comments Part of the Cornell Tech Program.

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Enrollment Information
Syllabi: none

  • 4 Credits Graded

  • 17792CS 5785  LEC 001

  • Enrollment limited to students enrolled at the Cornell Tech campus. Offered in NYC.