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Detailed Course Information

 

Fall 2019
Mar 29,2024
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Information Select the desired Level or Schedule Type to find available classes for the course.

CMPS 320 - MACHINE LEARNING
This course provides a theoretical and a practical understanding of machine learning techniques. It offers the concepts, the intuitions, and the tools the students need to actually implement programs capable of learning from data. A large number of techniques are covered, from the simplest and most commonly used such as linear regression to some of the Deep Learning techniques. The course materials are supported with lab sessions using Python programming language,
0.000 TO 4.000 Credit hours
0.000 TO 4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
FOR CMPS 320

General Requirements:
Course or Test: CMPS 231
Minimum Grade of C
May not be taken concurrently.  )
or
Course or Test: CMPS 240
Minimum Grade of C
May not be taken concurrently. )


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