CS 5785

Last Updated

  • Schedule of Classes - December 22, 2024 7:33PM EST
  • Course Catalog - December 22, 2024 7:07PM EST

CS 5785
Applied Machine Learning

Course information provided by the 2024-2025 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 equivalent, basic familiarity with Matlab or Python, or permission of instructor.

Permission Note Enrollment limited to: Cornell Tech students.

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 3 Credits GradeNoAud

  • 19517 CS 5785   LEC 030

  •  

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.

Syllabi:

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

  • 3 Credits GradeNoAud

  • 19518 CS 5785   LEC 031

  •  

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.