Building an accelerated data science and data engineering ecosystem with @rapidsai
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Glad you're enjoying RAPIDS and cuML! Just wanted to mention that cuML can now be installed via pip. We released experimental packages with our 22.10 release and are working to "graduate" them rapids.ai/pip.html
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Data scientists shouldn’t have to choose between building ensemble models and fast results. Using @rapidsai cuML with @scikit_learn gives them the tools to do both.
100x faster #MachineLearning model ensembling with @rapidsai cuML and @scikit_learn meta-estimators. Change 1-2 lines of code to go from hours to seconds. nvda.ws/3g9B7gc
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