- Schedule of Classes - May 21, 2019 7:14PM EDT
- Course Catalog - May 21, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019. Courses of Study 2019-2020 is scheduled to publish mid-June.
No description available.
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
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. Prerequisite: INFO 2950 or equivalent. A course in linear algebra such as MATH 2310 is also helpful.
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