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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/

 

For questions, Ask Us. 

Presented by Tue Vu

Date:
Tuesday, April 1, 2025
Time:
1:00pm - 3:30pm
Hosted by:
OIT Research and Data Science Services
Space:
Fondren Library 109
Audience:
  Faculty/staff     Graduates     Undergraduates  

Registration is required. There are 20 seats available.

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. 
 

Location