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 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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