NVIDIA DLI: Fundamentals of Accelerated Data Science with RAPIDS
Event box
Learn how to build and execute end-to-end GPU-accelerated data science workflows that enable you to quickly explore, iterate, and get your work into production. Using the RAPIDS™-accelerated data science libraries, you’ll apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale. More information.
Presented by Tue Vu
- Date:
- Thursday, February 29, 2024
- Time:
- 10:00am - 1:00pm
- Hosted by:
- O'Donnell Data Science and Research Computing Institute
- Space:
- Fondren Library, Red 109
- Audience:
- Faculty/staff Graduates Undergraduates
- Categories:
- Scholarship and Research > Computational Skills
Registration has closed.
Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact Tue Vu at least one week prior to the event to arrange for the accommodation.