CS 5785
Last Updated
- Schedule of Classes - May 20, 2024 7:35PM EDT
- Course Catalog - May 20, 2024 7:07PM EDT
Classes
CS 5785
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2024-2025 is scheduled to publish mid-June.
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
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
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TR
To Be Assigned
Cornell Tech - Aug 26 - Dec 9, 2024
Instructors
Kuleshov, V
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TR
To Be Assigned
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Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech students.
Regular Academic Session. Combined with: ECE 5414, ORIE 5750
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
-
MW
To Be Assigned
Cornell Tech - Aug 26 - Dec 9, 2024
Instructors
Gan, K
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MW
To Be Assigned
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech students.
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