INFO 3950
Last Updated
- Schedule of Classes - January 8, 2020 7:14PM EST
- Course Catalog - January 8, 2020 7:15PM EST
Classes
INFO 3950
Course Description
Course information provided by the Courses of Study 2019-2020.
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 Fall.
Prerequisites/Corequisites Prerequisite: INFO 2950 or equivalent.
Distribution Category (MQR-AS)
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Phillips Hall 203
Instructors
Ginsparg, P
Share
Disabled for this roster.