Nvidia workshop: Accelerating Data Science Workflows with RAPIDS

Register to attend

(This event will be limited to 40 registrants)

Please visit Nvidia’s website to create a free account ahead of the workshop; you will need this to access course materials. The course code will be provided the day of.

Learn to build a GPU-accelerated, end-to-end data science workflow using RAPIDS open-source libraries for massive performance gains. RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. We will discuss how to ingest and prepare datasets using cuDF (GPU-accelerated dataframes) and train machine learning models using cuML (GPU-accelerated machine learning).

• Using cuDF to injest and manipulate massive datasets directly on the GPU
• Utilizing a wide variety of GPU-accelerated machine learning algorithms including XGBoost and several other cuML algorithms to perform data analysis
• Performing end to end analysis tasks utilizing several realistic data sets