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BUAD 5122 - Machine Learning I

Description
This is the first of two courses designed to equip students with the kinds of analytical skills used in the era of Big Data to reveal the hidden patterns in, and relationships among, data elements being created by internal transaction systems, social media and the Internet of Things. A family of analytical methods, collectively referred to as "Machine Learning" methods, has grown out of the Artificial Intelligence community and has become commonplace in many of the world’s leading analytics competitors. This first course focuses on the basics of machine learning, regression techniques, classification techniques and how to avoid over-fitting predictive models. The R language is used extensively in this course.
Credits
4
Attributes
Ops Mgmt Info Systems, Online Course
Recent Professors
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Recent Semesters
Spring 2021, Fall 2019
Avg. Class Size
20
Avg. Sections
2