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.

Amazon SageMaker Autopilot can be accessed from the AWS Management Console, the command-line tool (CLI) or an open source Python SDK, in addition to Amazon SageMaker Studio. This choice enables ...

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 ...

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 ...

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 ...

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 ...

Amazon Web Services on Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps ... for the AI Programming with Python Udacity Nanodegree program.

Today’s launch lets SageMaker Training Compiler automatically compile your Python training code and generate GPU kernels specifically for your model,” Tracey explained. AWS is also making it ...

AWS today announced a new machine learning service, Amazon SageMaker Canvas. Unlike its existing machine learning services, the target audience here isn’t highly technical data scientists and ...

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 ...