Data science is booming, but the expertise that can help drive faster breakthroughs requires a foundation in various languages and libraries. Find all the resources you need to guide your data science journey here, from video tutorials to how-to guides on Github.
Get an introduction to RAPIDS, an open-source GPU-accelerated platform for data science ,and an overview of its integrated software packages.
Explore how to accelerate XGBoost one of the most popular machine learning packages with GPUs on RAPIDS.
View more tutorial notebooks on GitHub.
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Learn how RAPIDS maximized data sciences productivity, performance, and insights with GPU-accelerated machine learning and data analytics libraries deployed on NVIDIA GPU platforms.
Leverage a list of open databases to strengthen the foundation of your research and education.
Get an overview of NVIDIA-powered clusters that enable data scientist teams with Jupyter Notebooks to tackle complex data science problems.
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