CS 5785
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
CS 5785
Course Description
Course information provided by the Courses of Study 2022-2023.
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.
Permission Note Enrollment limited to: Cornell Tech students.
Prerequisites/Corequisites Prerequisite: CS 2800 or equivalent, basic familiarity with Matlab or Python, or permission of instructor.
Regular Academic Session. Combined with: ECE 5414, ORIE 5750
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
-
TR
Bloomberg Center 131
Cornell Tech - Aug 22 - Dec 5, 2022
Instructors
Kuleshov, V
-
TR
Bloomberg Center 131
-
Additional Information
Instruction Mode: In Person
Taught in NYC. Enrollment limited to Cornell Tech students.
Share
Disabled for this roster.