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BUAD 5132 - Machine Learning II

Description
This is the second 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. This second machine learning course covers many methodologies including various non-linear approaches, tree-based methods, support vector machines, principal components analysis, and the analysis of unstructured data via unsupervised machine learning techniques. 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 2020, Spring 2020
Avg. Class Size
23
Avg. Sections
1