*****COURSES ARE SUBJECT TO CHANGE*****
Examines the mathematical and algorithmic foundations of data science including high dimensional data, probabilistic inequalities, dimensionality reduction, correlation detection, streaming algorithms, and clustering. Prerequisite(s): course 201. Enrollment is restricted to graduate students.
5 Credits
Year | Fall | Winter | Spring | Summer |
---|---|---|---|---|
2018-19 |
| |||
2017-18 |
| |||
2015-16 |
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.