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 432 with a grade of C or better
Satisfactory Grading: Ineligible for the Satisfactory/No Credit grade mode.

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