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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/

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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

Thursday, October 19, 2023
10:00am - 1:00pm
Moody 125
  Faculty/staff     Graduates     Undergraduates  
  Scholarship and Research > Computational Skills  

Registration is required. There are 35 seats available.