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Summary: This is a summary of an article originally published by AWS DevOps Blog. Read the full original article here →
https://aws.amazon.com/polly/ Two years ago, we https://aws.amazon.com/blogs/aws/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/ Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML). https://aws.amazon.com/sagemaker/studio/ provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times
With RStudio on Amazon SageMaker, administrators can have a simple experience to migrate their RStudio environments to integrate into Amazon SageMaker and bring existing RStudio licenses to manage through https://aws.amazon.com/license-manager.
Getting Started with RStudio on SageMaker You now can launch the familiar RStudio Workbench with a simple click from Amazon SageMaker.
Integrating training jobs with Amazon SageMaker One of the benefits of using RStudio on Amazon SageMaker is the integration of Amazon SageMaker features.
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