Jan 07, 2026  
2022-2023 Catalog 
    
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2022-2023 Catalog [ARCHIVED CATALOG]

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DATA 436 Learning from Data

Building on the frameworks introduced in IS 432, this course reviews a wide variety of machine learning techniques used for building and refining models for decision making. Support Vector Machines are introduced and a variety of Kernel based learning approaches are explored.
Credits: 4
Prerequisite: DATA 101  and DATA 432  and MTH 308 , each with a grade of C or better or consent of instructor
Satisfactory Grading: Ineligible for the Satisfactory/No Credit grade mode.


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