CS 5785
Last Updated
- Schedule of Classes - March 3, 2021 7:15PM EST
- Course Catalog - March 3, 2021 7:16PM EST
Classes
CS 5785
Course Description
Course information provided by the Courses of Study 2020-2021.
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 the equivalent, basic familiarity with Matlab or Python, or permission of instructor.
Regular Academic Session. Combined with: ECE 5414, ORIE 5750
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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TBA
Online Meeting
Cornell Tech - Aug 27 - Dec 8, 2020
Instructors
Kuleshov, V
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TBA
Online Meeting
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Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students.
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