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 ...

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.

Today at AWS re:Invent in Las Vegas, the company announced AutoPilot, a new tool that gives you greater visibility into automated machine learning model ...

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 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.

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds ...

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

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 Unified Studio comes with data discovery, sharing and governance capabilities built in, so analysts, data scientists and engineers can easily search and find the right data they need for ...