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BIG DATA AND DATA MINING
BIG DATA AND DATA MINING
2017 Spring Term
3 Units
Computer Science 767
This course will cover two main areas: (1) machine learning algorithms that can be applied to "big data" (i.e., data sets of great size and complexity); and (2) distributed file systems and MapReduce as tools to generate algorithms, along with associated hardware innovations to facilitate parallel analysis of big data.
Other Requirements: PREREQ: ADMISSION TO GRADUATE PROGRAM IN COMPUTER SCIENCE
Class Schedule
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