Fundamentals of Accelerated Data Science: In this workshop, you’ll learn how to build and run 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.

This workshop is split into two half-days on Sept. 28 and Sept. 30, from 9:30am to 1pm.

Instructions to attend talk via Zoom will be emailed to you. 

For learning objectives, prerequisites, certificate, and to register, go to  https://calendar.ufl.edu/event/25147-dli-accelerated-data-science-rapids.