NVIDIA DLI: Fundamentals of Accelerated Data Science with RAPIDS
Event box
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/
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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.
Presented by Tue Vu
- Date:
- Thursday, October 19, 2023
- Time:
- 10:00am - 1:00pm
- Space:
- Moody 125
- Audience:
- Faculty/staff Graduates Undergraduates
- Categories:
- Scholarship and Research > Computational Skills