CS 5785

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST
  • Course Catalog - May 29, 2024 10:20AM EDT

CS 5785
Applied Machine Learning

Course information provided by the 2025-2026 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.

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 3 Credits GradeNoAud

  • 19625 CS 5785   LEC 030

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Gan, K

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.

Syllabi: none

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

  • 3 Credits GradeNoAud

  • 19626 CS 5785   LEC 031

  •  
    • MW
    • Aug 25 - Dec 8, 2025

    • Kuleshov, V

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.