Nearly three years after it was first launched, Amazon Web Services’ SageMaker platform has gotten a significant upgrade in the form of new features, making it easier for developers to automate and ...

Amazon SageMaker Debugger provides real-time monitoring for machine learning models to improve predictive accuracy, reduce training times, and facilitate greater explainability Amazon SageMaker Model ...

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 ...

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds When I reviewed Amazon SageMaker in 2018, I noted that ...

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 things ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon today announced half a dozen new features and tools for AWS ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Amazon's vice president of machine learning, Swami Sivasubramanian, Tuesday offered a keynote on machine learning for week two of Amazon's re:Invent conference for Amazon Web Services. During the ...

Amazon Web Services (AWS) is a significant force in the public cloud market. Every year it hosts AWS re:Invent, considered by users and analysts as one of the most important annual technical cloud ...

AWS has launched SageMaker Inference for custom Nova models, completing a full fine-tuning-to-deployment pipeline for Nova ...