CS 5785

Last Updated

  • Schedule of Classes - August 2, 2023 12:50PM EDT
  • Course Catalog - April 3, 2023 12:59PM EDT

CS 5785
Applied Machine Learning

Course information provided by the 2022-2023 Catalog. Courses of Study 2022-2023 is scheduled to publish mid-June.

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 equivalent, basic familiarity with Matlab or Python, or permission of instructor.

Permission Note Enrollment limited to: Cornell Tech students.

Last 4 Terms Offered (None)

When Offered Fall.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: ECE 5414, ORIE 5750

  • 3 Credits Stdnt Opt

  •  9694 CS 5785   LEC 030

  •  
    • TR
    • Aug 22 - Dec 5, 2022

    • Kuleshov, V

  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to Cornell Tech students.