Machine learning with decentralized training data using federated learning on Amazon SageMaker | Amazon Web Services
In this post, we discuss how to implement federated learning on Amazon SageMaker to run ML with decentralized training data.
Technical How-to
Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services
We are happy to announce that SageMaker Data Wrangler now supports using Lake Formation with Amazon EMR to provide this fine-grained data access restriction.
Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift | Amazon Web Services
Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these…
Train self-supervised vision transformers on overhead imagery with Amazon SageMaker | Amazon Web Services
In this post, we demonstrate how to train self-supervised vision transformers on overhead imagery using Amazon SageMaker. Travelers collaborated with the Amazon Machine Learning Solutions Lab (now known as the…
Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK | Amazon Web Services
Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. With SageMaker JumpStart, ML practitioners can choose from a growing list of best performing and…
Zero-shot text classification with Amazon SageMaker JumpStart | Amazon Web Services
Natural language processing (NLP) is the field in machine learning (ML) concerned with giving computers the ability to understand text and spoken words in the same way as human beings…
Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch | Amazon Web Services
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,…
Generate creative advertising using generative AI deployed on Amazon SageMaker | Amazon Web Services
Creative advertising has the potential to be revolutionized by generative AI (GenAI). You can now create a wide variation of novel images, such as product shots, by retraining a GenAI…
Host the Spark UI on Amazon SageMaker Studio | Amazon Web Services
Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. You can run Spark applications interactively from…
Index your Alfresco content using the new Amazon Kendra Alfresco connector | Amazon Web Services
Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of…