Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

By Admin 01/12/2023

AWS Machine Learning Blog Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. SageMaker makes it straightforward to deploy models into production directly through API calls to the service. Models are packaged into containers for robust […]Continue reading

Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

By Admin 30/11/2023

AWS Machine Learning Blog Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio. With this launch, you can programmatically […]Continue reading

Guardian Europe: What do migration, climate, Covid, Ukraine and rightwing populism have in common?

By Admin 28/09/2023

Coronavirus | The Guardian They are issues of great interest to Europeans, but cannot be fully understood through a single national lens. The climate crisis, geopolitics, people trafficking, economic insecurity – the biggest challenges are not limited by national borders. Which is why, this September, the Guardian is launching Guardian Europe – a dedicated English-language […]Continue reading

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

By Admin 07/09/2023

AWS Machine Learning Blog Amazon SageMaker Pipelines is a fully managed AWS service for building and orchestrating machine learning (ML) workflows. SageMaker Pipelines offers ML application developers the ability to orchestrate different steps of the ML workflow, including data loading, data transformation, training, tuning, and deployment. You can use SageMaker Pipelines to orchestrate ML jobs […]Continue reading

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch

By Admin 10/08/2023

AWS Machine Learning Blog Amazon SageMaker is a fully managed machine learning (ML) platform that offers a comprehensive set of services that serve end-to-end ML workloads. As recommended by AWS as a best practice, customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. However, when more […]Continue reading