ECE 5414

Last Updated

  • Schedule of Classes - February 12, 2019 8:29PM EST
  • Course Catalog - January 26, 2019 2:00PM EST

ECE 5414
Applied Machine Learning

Course information provided by the 2018-2019 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 the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor.

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 3 Credits Stdnt Opt

  • 12892 ECE 5414   LEC 030

  •  

  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to Cornell Tech students.

Syllabi: none

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

  • 3 Credits Stdnt Opt

  • 17581 ECE 5414   LEC 031

  •  

  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to Cornell Tech students.