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.

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.

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 ...

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.

At its re:Invent conference, AWS CEO Andy Jassy today announced the launch of SageMaker Studio, a web-based IDE for building and training machine learning workflows. It includes everything a data ...

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

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

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 ...