Course information provided by the Courses of Study 2024-2025.
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.
3 Credits
GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
19517CS 5785 LEC 030
Meeting Pattern
TR
Aug 26 - Dec 9, 2024
Instructors
Kuleshov, V
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials
required, for this section. Additional information may be found on the syllabus provided by your professor.
For the most current information about textbooks, including the timing and options for purchase, see the
Cornell Store.
3 Credits
GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
19518CS 5785 LEC 031
Meeting Pattern
MW
Aug 26 - Dec 9, 2024
Instructors
Gan, K
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials
required, for this section. Additional information may be found on the syllabus provided by your professor.
For the most current information about textbooks, including the timing and options for purchase, see the
Cornell Store.
