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CMSC 454

Algorithms for Data Science

3 Credits

Fundamental methods for processing a high volume of data. Methods include stream processing, locally sensitive hashing, web search methods, page rank computation, network and link analysis, dynamic graph algorithms as well as methods to handle high dimensional data/dimensionality reduction.

Prerequisites & course information

Prerequisite: Minimum grade of C- in CMSC330 and CMSC351 . Restriction: Permission of CMSC-Computer Science department.

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