James Blair | Using RStudio on Amazon SageMaker | RStudio

Using RStudio on Amazon SageMaker
Presented by James Blair

*please note that this meetup will share a new update about our professional product, RStudio Workbench. All are welcome, but just wanted to make sure to share that upfront :)

Presentation & Demo - 40 minutes
Q&A with both RStudio & AWS SageMaker team - 20 minutes

Amazon SageMaker helps data scientists and developers to build, train, and deploy machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning. RStudio recently announced the release of RStudio on Amazon SageMaker, developed in collaboration with the SageMaker team. This brings a fully-managed RStudio Workbench IDE into the powerful SageMaker environment.

With this functionality, Data Scientists can quickly get to work, spinning up their favorite development environment on SageMaker, choosing from a wide array of instance types as needed. They can get access to their organization’s data stored on AWS, as well as all of SageMaker’s deep learning capabilities.

As a fully managed offering on Amazon SageMaker, this release makes it easy for DevOps teams and IT Admins to administer, secure, and scale their organization’s centralized data science infrastructure, using familiar AWS tools and frameworks.

Here are James' slides as well: https://github.com/blairj09-talks/rstudio-sagemaker-webinar
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