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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. 

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  

Registration is required. There are 35 seats available.