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

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.

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.

AWS has introduced 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.

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

At the recent re:Invent conference, Amazon Web Services (AWS) announced Amazon SageMaker Studio, an integrated development enviornment (IDE) for machine learning (ML) that brings code editing ...

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 ...

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.

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features.