Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models.

A collection of sample scripts customizing SageMaker Studio applications using lifecycle configurations. Lifecycle Configurations (LCCs) provide a mechanism to customize SageMaker Studio applications ...

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More [Editor’s note: This story was updated June 3, 2020. The changes are ...

Marketers are always challenged to raise their machine learning knowledge, but have a few options to do so without being overwhelmed by programming code. Marketers are always challenged to raise their ...

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 ...