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Spring 2018 Semester
Sep 21, 2020
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Information Select the desired Level or Schedule Type to find available classes for the course.

DA 5030 - Introduction to Data Mining/Machine Learning
Introduces the fundamental techniques for data mining, combining elements from CS 6140 and CS 6220. Discusses several basic learning algorithms, such as regression and decision trees, along with popular data types, implementation and execution, and analysis of results. Lays the data analytics program foundation of how learning models from data work, both algorithmically and practically. The coding can be done in R, Matlab or Python. Students must demonstrate ability to set up data for learning, training, testing, and evaluating.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Seminar

Interdisc Studies - Provost Department

Course Attributes:
Graduate CCIS Data Sci Cert

Restrictions:
May not be enrolled in one of the following Programs:     
      MSCS Computer Science - Align
      MSCS Computer Science
Must be enrolled in one of the following Levels:     
      Graduate

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