Artificial Intelligence
Author: Sherry Ding
Build well-architected IDP solutions with a custom lens – Part 2: Security
Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS. By using the Framework, you will learn current operational and architectural recommendations for designing and operating […]
Machine learning with decentralized training data using federated learning on Amazon SageMaker
In this post, we discuss how to implement federated learning on Amazon SageMaker to run ML with decentralized training data.
Simplify data annotation and model training tasks with Amazon Rekognition Custom Labels
For a supervised machine learning (ML) problem, labels are values expected to be learned and predicted by a model. To obtain accurate labels, ML practitioners can either record them in real time or conduct offline data annotation, which are activities that assign labels to the dataset based on human intelligence. However, manual dataset annotation can […]