Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS

Explore the world of high-performance data science in this 1-hour 19-minute conference talk from the Toronto Machine Learning Series (TMLS). Join Brad Rees, Sr Manager of RAPIDS at NVIDIA, and Corey Nolet, Sr Data Scientist & Engineer at RAPIDS, NVIDIA, as they delve into the power of GPUs and RAPIDS for accelerating data science workflows. Discover the significant performance gains achievable through GPU-accelerated computing and learn about the seamless migration process to RAPIDS. Gain insights into the expanded possibilities for data science projects enabled by RAPIDS, covering essential areas such as ETL (Extract, Transform, Load), Machine Learning, and Graph analytics. Access the provided workshop materials to enhance your understanding and follow along with practical demonstrations. Uncover how NVIDIA RAPIDS can revolutionize your data science pipeline, allowing you to process and analyze data at lightspeed.