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

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

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

Amazon SageMaker is a fully managed machine learning service that makes it much easier to build, train machine learning models then deploy them into a production-ready hosted environment. It has ...

SageMaker will get streaming algorithms and better batch processing and pluck data directly from Amazon's S3 storage.

AWS SageMaker is a fully managed service provided by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. It’s ...

Today at AWS re:Invent, AWS introduced Amazon SageMaker Clarify to help reduce bias in machine learning models. “We are launching Amazon SageMaker Clarify.

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

AWS said this week its SageMaker data labeling service called Ground Truth introduced in 2018 now includes a workflow for labeling of point clouds, a set of data points generated by tools like 3D ...

AWS launched a new service today, Amazon SageMaker Data Wrangler, that makes it easier for data scientists to prepare their data for machine learning training. In addition, the company is also ...