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BUAD 5072 - Machine Learning 1

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
3
Attributes
Blend Remote/F2F/Synch/Asynch
Recent Professors
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Schedule Planner
Recent Semesters
Fall 2020, Fall 2019, Fall 2018, Fall 2017, Fall 2016
Offered
MWF, TuTh, MW
Avg. Class Size
42
Avg. Sections
2