This will take your training script and use SageMaker in script mode with the default training loop. This example contains a Jupyter Notebook that demonstrates how to use a SageMaker optimized ...

This terraform module creates a sagemaker notebook and it's associated Glue Dev Endpoint to access a table shared via lakeformation service. To temporarily disable these checks, use git commit -m ...

When we create a Notebook Instance in AWS SageMaker a new JupyterLab environment is created with a unique subdomain under the .notebook.us-east-1.sagemaker.aws parent domain (where us-east-1 can be ...

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 ...

Amazon SageMaker is ... APIs and listed on AWS Marketplace. Once you have created an algorithm or a model package to be listed in the AWS Marketplace, the next step is to list it in AWS Marketplace, ...

AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply Amazon SageMaker, a machine learning ...

Through a previously unreported vulnerability, attackers could run any code on an AWS SageMaker Jupyter Notebook Instance across accounts, access the Notebook Instance metadata endpoint, and steal the ...