Within a Jupyter notebook, you can call the high-level Python library provided by Amazon SageMaker or the more basic AWS SDK for Python (Boto), in addition to common Python libraries such as NumPy.

Notebooks in context of Amazon SageMaker are compute instances that run the Jupyter Notebook application. Governance updates to improve granular access, improve workflow AWS said the new features ...

SageMaker Python SDK is an open-source library for building ... The service is now available in all the AWS Regions where Amazon SageMaker is available, except for the AWS GovCloud (U.S.) and ...

Amazon Web Services unveiled a half-dozen new SageMaker services today ... will automatically compile your Python training code (PyTorch or TensorFlow) and generate GPU kernels specifically for your ...

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 ...

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 ...

One of the most requested features from SageMaker customers is the ability to perform data preparation in the SageMaker Studio IDE, said AWS CEO Andy Jassy during ... learning workflows with our ...

One of SageMaker’s standout features is a set of ready-made AI algorithms that can be quickly integrated into applications. Today’s update expands the algorithm lineup. AWS has added a model ...

Learn More Today at its annual huge conference re:Invent 2024, Amazon Web Services (AWS) announced the next generation of its cloud-based machine learning (ML) development platform SageMaker ...

Today at AWS re:Invent, AWS introduced Amazon SageMaker Clarify to help reduce bias in machine learning models. “We are launching Amazon SageMaker Clarify. And what that does is it allows you to ...