CS 5785

Last Updated

  • Schedule of Classes - February 7, 2022 7:27PM EST
  • Course Catalog - February 7, 2022 7:14PM EST

CS 5785
Applied Machine Learning

Course information provided by the Courses of Study 2021-2022.

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 Fall.

Permission Note Enrollment limited to: Cornell Tech students.
Prerequisites/Corequisites Prerequisite: CS 2800 or equivalent, basic familiarity with Matlab or Python, or permission of instructor.

View Enrollment Information

Syllabi: none

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

  • 3 Credits Stdnt Opt

  • 10966 CS 5785   LEC 030

  •  

  • Instruction Mode: In Person
    Taught in NYC. Enrollment limited to Cornell Tech students.

Syllabi:

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

  • 3 Credits Stdnt Opt

  • 17913 CS 5785   LEC 031

  •  

  • Instruction Mode: In Person
    Taught in NYC. Enrollment Limited to Cornell Tech Students.