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IRM 4004 [0.5 credit] Applied Machine Learning and Big Data Analytics

Introduction to Machine Learning and Big Data Analytics. Topics include: Association Rule Mining, Classification, Clustering, Linear and Logistic Regression, Distributed File System, Batch and Stream Data Processing, and other related. Applications on other domains such as multimedia, networks, finance, and/or business.
Includes: Experiential Learning Activity
Prerequisite(s): IRM 3006.
Lectures three hours a week.