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Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

AWS Machine Learning Blog

APRIL 23, 2024

This reduces the iteration cycle from minutes down to seconds, boosting developer productivity. ipynb notebook in blog/pytorch_cnn_cifar10. To learn more about SageMaker spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. Python 3.10 CPU Optimized.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

APRIL 1, 2018

Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. We agree with that.

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Artificial Intelligence Zone

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

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