CS 5785

Last Updated

  • Schedule of Classes - October 16, 2017 11:09AM EDT
  • Course Catalog - June 14, 2017 7:15PM EDT

CS 5785
Applied Machine Learning

Course information provided by the 2016-2017 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

  • 17710 CS 5785   LEC 030

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  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to: Cornell Tech students.