Year 4 Winter (0.5 Credits) | Carleton University
Introduction to Big Data. Topics include: big data mining and analysis techniques like Association Rule Mining, Classification, Clustering, Linear Regression, using R, Hadoop, Hadoop Distributed File System, and related technologies. Applications on other domains like networks, finance, and/or business. Includes: Experiential Learning Activity
Prerequisites: IRM 3006.
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