When AWS launched SageMaker Studio back in December, we weren't super impressed. But we promised to take a closer look. Here it is.

Amazon Web Services on Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps customers build, train and deploy machine learning models.

SageMaker is AWS's flagship machine learning solution. Here we take a hands-on look at some of its newest features, rolled out in December.

SageMaker Unified Studio brings together tools from other AWS services, including the existing SageMaker Studio, to help customers discover, prepare, and process data to build models.

Amazon Web Services on Tuesday announced SageMaker Studio, a fully-integrated development environment for machine learning. A web-based IDE, SageMaker Studio allows you to store and collect all ...

Amazon Web Services Inc. has released an improved version of its SageMaker Studio, a development interface that provides access to purpose-built artificial intelligence and machine learning ...

The new SageMaker Unified Studio makes it easy for customers to find and access data from across their organization and brings together purpose-built AWS analytics, machine learning (ML), and AI ...

AWS has introduced SageMaker Studio Lab, a free service to help developers learn machine-learning techniques and experiment with the technology.

On a related note, AWS also today launched SageMaker Studio Lab, a free service to help developers learn machine learning techniques and experiment with the technology.

SageMaker Studio’s debugging features are powered by an AI glitch-hunting tool that engineers can customize to track down specific issues.