INFO 3950
Last Updated
- Schedule of Classes - January 9, 2020 9:13AM EST
- Course Catalog - January 9, 2020 9:14AM EST
Classes
INFO 3950
Course Description
Course information provided by the 2019-2020 Catalog.
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.
Prerequisites/Corequisites Prerequisite: INFO 2950 or equivalent.
Distribution Category (MQR-AS)
When Offered Fall.
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 Phillips Hall 203
Instructors
Ginsparg, P
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Additional Information
Instruction Mode: In Person
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