CS 5785

Last Updated

  • Schedule of Classes - January 19, 2016 6:14PM EST
  • Course Catalog - January 19, 2016 6:21PM EST

CS 5785
Applied Machine Learning

Course information provided by the 2015-2016 Catalog.

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.


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

When Offered Fall.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  • 13628 CS 5785   LEC 031

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  • Instruction Mode: In Person

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