CS 5785

Last Updated

  • Schedule of Classes - July 10, 2025 1:15PM EDT
  • Course Catalog - June 11, 2015 6:21PM EDT

CS 5785
Modern Analytics

Course information provided by the 2014-2015 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 Prerequisites: CS 2800 or the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor.

When Offered Spring.

Comments Part of the Cornell Tech Program.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Graded

  • 17792 CS 5785   LEC 001

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  • Instruction Mode: In Person

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