NVIDIA DLI Accelerated Data Science workflow with RAPIDS
In this workshop, you’ll 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: https://www.nvidia.com/en-us/training/instructor-led-workshops/fundamentals-of-accelerated-data-science/
Presented by Tue Vu
- Date:
- Thursday, October 17, 2024
- Time:
- 1:00pm - 4:00pm
- Hosted by:
- OIT Research and Data Science Services
- Space:
- Fondren Library 109
- Categories:
- Scholarship and Research
Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact presenter at tuev@smu.edu at least one week prior to the event to arrange for the accommodation.