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

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 ...

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 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.

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 ...

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

The SageMaker Unified Studio page, SageMaker data and AI governance page, and SageMaker Lakehouse page to learn how companies are using these capabilities. The AWS re:Invent page for more details ...

Amazon SageMaker adds a data science studio, experiment tracking, production monitoring, and automated machine learning capabilities ...

Amazon's SageMaker for machine learning got a series of upgrades today including AutoML and services to help with experiments, debugging, and notebooks.