Nvidia DLI Workshop: Fundamentals of Accelerated Data Science

Welcome to the NVIDIA/University of Florida instructor-led DLI workshop on Fundamentals of Accelerated Data Science! This course teaches how to leverage GPU acceleration for faster and more efficient data science and machine learning tasks. You will learn to implement GPU-accelerated data preparation and feature extraction using cuDF and Apache Arrow, apply advanced machine learning techniques with XGBoost and cuML, and perform large-scale graph analytics using cuGraph. By the end of the course, you will be able to execute complex data workflows and analyses at scale, significantly reducing computation times and enhancing their data-driven insights.

Please visit the DLI Fundamentals of Accelerated Data Science workshop homepage for more information.

Any questions, please contact UFIT Research Computings AI and RSE Manager Ying Zhang at yingz@ufl.edu