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Detailed Course Information

 

Date
Mar 25, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

CSC 615 - Machine Learning
This course provides an overview of popular algorithms in machine learning. Topics include supervised learning, linear and polynomial regression, classification algorithms, gradient descent, unsupervised learning, instance-based learning, neural networks, and genetic algorithms and boosting. The course requires some knowledge of artificial intelligence, and good programming skills. The theoretical aspects of the algorithms will be studied, and assignments will be given to test their applicability. [3-0, 3 cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Division
Computer Science Department

Restrictions:
May not be enrolled in one of the following Programs:     
      Freshman Science
      Freshman Arts
Must be enrolled in one of the following Levels:     
      Graduate
May not be enrolled in one of the following Degrees:     
      Executive MBA

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