RAPIDS: Open-Source GPU Data Science Published 2019-05-07 Download video MP4 360p Recommendations 29:04 Intake: Taking the Pain Out of Data Access 34:45 Numba - Stanley Seibert 38:51 Real Time Processing and Dask 13:33 CUDA Explained - Why Deep Learning uses GPUs 34:03 Machine Learning Model Evaluation Metrics 2:02:53 RAPIDS: Open GPU Data Science | Scipy 2019 Tutorial | Scopatz, Becker, Kraus, Gama Dessavre 15:51 I Built The First LAMINAR FLOW ROCKET ENGINE 27:59 cuSignal - GPU Accelerating SciPy Signal with Numba and CuPy |SciPy 2020| Adam Thompson 1:37:53 CUDA Part A: GPU Architecture Overview and CUDA Basics; Peter Messmer (NVIDIA) 59:50 Live- Exploring Nvidia RAPIDS- Open GPU Data Science 35:33 Machine Learning Zero to Hero (Google I/O'19) 1:12:14 James Powell - Furious & Fast Python 7: Writing Fast Python Code | PyData Fest Amsterdam 2020 51:31 11. Introduction to Machine Learning 1:51:37 SC19: NVIDIA CEO Jensen Huang on the Expanding Universe of HPC 03:13 Nvidia CUDA in 100 Seconds 2:06:38 This is why Deep Learning is really weird. 24:14 Prof. Peter Staněk: Konflikt na Ukrajine ako obraz budúcej vojny 23:47 AI Pioneer Shows The Power of AI AGENTS - "The Future Is Agentic" Similar videos 44:38 Rapids: Data Science on GPUs 58:13 #117: Accelerating ML with RAPIDS by Nvidia AI 57:28 Nvidia's RAPIDS.ai: Massively Accelerated Modern Data-Science | AISC 1:08:07 Joshua Patterson, Keith Kraus: GPU Data Science with Rapids | PyData Miami 2019 05:12 RAPIDS - Accelerating Machine Learning pipeline on GPU 52:31 Data Science in 30 Minutes (RAPIDS) 51:01 High-Performance Data Science with RAPIDS More results