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May 01, 2024
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EECS 284: Big Data Science
Units: 4
Aims to familiarize students with data science techniques for processing large amounts of heterogeneous data. Starting with the latest innovations in hardware, data processing architectures as well as algorithms for managing large quantities of data are presented. Although the focus is on basic data science methods, significant attention is dedicated to real-world applications.
Course Details
Anticipated term(s) course will be offered:
Repeatable for Credit: No
Laboratory included
Normal Letter Grade only
Requisites and Restrictions
Instructor Permission Required: No
Background in algorithms, linear algebra, statistics, programming, and computer systems required.
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