BIG DATA AND DATA MINING
BIG DATA AND DATA MINING
2023 Summer Term
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
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
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Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
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01-LEC 1076
3 Units
|
07/03 - 08/12 (6W3) |
Hien Nguyen
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ONLINE |