Use Amazon SageMaker built-in algorithms.

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.

Amazon SageMaker smart sifting is a capability of SageMaker Training that helps improve the efficiency of training datasets and reduce total training time and cost.

Select the JupyterLab version to use for an Amazon SageMaker Studio instance.

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.

Use Amazon EC2 for scalable computing capacity in the AWS Cloud so you can develop and deploy applications without hardware constraints.

Point to set up instructions for Amazon SageMaker.

Connect to your Linux instances from Windows with PuTTY, a free SSH client for Windows.

Add or remove users on an Linux instance.