Learn about Amazon Augmented AI (A2I), a service for augmenting AI application labeling with human review loops to boost confidence in datasets.

Learn how to use shared spaces for collaboration between all users in a SageMaker Domain.

Use Amazon SageMaker Model Card to document critical details about your machine learning (ML) models for governance and reporting.

RStudio on Amazon SageMaker is an integrated development environment for R with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.

Create, store, and share features with Amazon SageMaker Feature Store.

Account quotas for Autopilot

The Amazon SageMaker Python SDK Scikit-learn estimators and models and the Amazon SageMaker open-source Scikit-learn container support using the Scikit-learn machine learning framework for training and deploying models in SageMaker.

Learn about SageMaker Domain entities and status values for shared space, UserProfile, Domain, and App.

For the AWS Regions supported by Amazon SageMaker and the Amazon Elastic Compute Cloud (Amazon EC2) instance types that are available in each Region, see Amazon SageMaker Pricing .

How to get started with R on Amazon SageMaker. Example R notebooks and developer guides are included.