ECE 5414

Last Updated

  • Schedule of Classes - March 20, 2026 3:39PM EDT

ECE 5414
Applied Machine Learning

Course information provided by the 2026-2027 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 CS 2800 or equivalent and basic familiarity with Matlab or Python, or permission of instructor.

Enrollment Priority Enrollment limited to: Cornell Tech students.

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

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 5785, ORIE 5750

  • 3 Credits GradeNoAud

  •  7219 ECE 5414   LEC 030

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Gan, K

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 5785, ORIE 5750

  • 3 Credits GradeNoAud

  •  7220 ECE 5414   LEC 031

  •  
    • MW
    • Aug 24 - Dec 7, 2026

    • Kuleshov, V

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.