ECE 5414

Last Updated

  • Schedule of Classes - December 11, 2024 7:49PM EST
  • Course Catalog - December 11, 2024 7:09PM EST

ECE 5414
Applied Machine Learning

Course information provided by the Courses of Study 2024-2025.

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.

Prerequisites/Corequisites Prerequisite: CS 2800 or the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor.

View Enrollment Information

Syllabi: none

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

  • 3 Credits GradeNoAud

  • 19519 ECE 5414   LEC 030

  •  

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

Syllabi:

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

  • 3 Credits GradeNoAud

  • 19520 ECE 5414   LEC 031

  •  

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