CMSC 454
Algorithms for Data Science
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.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Algorithms for Data Science · 3 Credits