At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company's managed service for building, training and deploying machine learning (ML) models. Swami ...

Recently AWS announced a new capability of Amazon S ageMaker called Amazon SageMaker Feature Store, a fully-managed, purpose-built repository. This new Amazon SageMaker capability allows customers to ...

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 ...

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Updated 2/14/21 at 9:14pm PST The data tooling and infrastructure space ...

In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly ...

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 Wednesday added new features to its ...

Amazon SageMaker Canvas expands access to machine learning by providing business analysts the ability to generate more accurate machine learning predictions using a point-and-click interface—no coding ...