Detailed Course Information |
Fall 2019
May 09,2025 |
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| CMPS 320 - MACHINE LEARNING |
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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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