Algorithmic, Mathematical, and Statistical Foundations of Data Science and Applications
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Description
Data Science is a growing field that uses data and computing to improve everyday life. This field poses a unique set of multi-disciplinary challenges spanning:
- Computer science
- Statistics
- Applied mathematics
- Machine learning
and their use in the sciences (such as biology, chemistry, physics, engineering, sociology, economics, medicine, etc.).
The data science workshop at Purdue will focus on the theoretical foundations of Data Science while highlighting the helpful feedback cycle between foundational work and applications.
Click here to register. Registration is complimentary for (Purdue or non-Purdue) undergraduates; $10 for Purdue graduate students; $20 for Purdue faculty, Purdue postdocs, and non-Purdue graduate students; $40 for non-Purdue faculty or non-Purdue postdocs; and $60 for non-academic participants.
For more information regarding speakers and a detailed agenda, click here.
Contact Details
- Petros Drineas
- pdrineas@purdue.edu
- NA