INFO 3950
Last Updated
- Schedule of Classes - December 18, 2024 7:35PM EST
- Course Catalog - December 18, 2024 7:07PM EST
Classes
INFO 3950
Course Description
Course information provided by the Courses of Study 2024-2025.
This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, clustering, and forecasting, with an overview of machine learning algorithms and statistical inference.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook.
Comments Note: This course may not be taken for credit after or concurrently with CS 3780 or ECE 4200.
Regular Academic Session.
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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
- TR
- Jan 21 - May 6, 2025
Instructors
Ginsparg, P
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Additional Information
Instruction Mode: In Person
Please fill out this form to add yourself to the waitlist: https://pgcourse.infosci.cornell.edu/cgi-bin/waitlist3950.py For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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