Detailed Course Information |
Fall 2021
Apr 19,2024 |
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| CMPS 620 - MACHINE LEARNING |
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This course provides students with the mathematical underpinnings of machine learning along with the software development skills to develop models and integrate machine learning into practical applications. Topics include foundational techniques such as linear and logistic regression and extend to deep learning and other state of the art techniques. Students will also obtain an understanding of both the capabilities and limitations of machine learning, and its responsible applications.
0.000 TO 3.000 Credit hours 0.000 TO 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course Computer Science Department Course Attributes: DATA COURSE FOR GRAD FEE ASSES Restrictions: Must be enrolled in one of the following Programs: Non-Degree-MSDS MS-Data Science Must be enrolled in one of the following Levels: Graduate Prerequisites: FOR CMPS 620 General Requirements: ( Course or Test: CMPS 530 Minimum Grade of D May not be taken concurrently. ) |
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