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

The new web-based interface for Studio serves as a central point for launching all of SageMaker’s tools allowing machine learning developers to build, train, fine-tune and deploy 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 Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps customers build, train and deploy machine learning models.

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

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 its re:Invent conference, AWS today announced SageMaker Studio Lab, a free service to help developers learn machine learning techniques and experiment with the technology. Studio Lab provides ...

While SageMaker already makes machine learning more accessible, AWS Chief Andy Jassy said SageMaker Studio is a "giant leap forward." ...

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