Amazon HealthLake is a new HIPAA-eligible service designed to store, transform, query, and analyze health data at scale. Amazon HealthLake removes the heavy lifting of organizing, indexing, and structuring patient […]
Amazon Machine Learning
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Amazon HealthLake is a new, HIPAA-eligible service designed to store, transform, query, and analyze health data at scale. You can bring your healthcare data into Amazon HealthLake using Fast Healthcare […]
Dynamic A/B testing for machine learning models with Amazon SageMaker MLOps projects
In this post, you learn how to create a MLOps project to automate the deployment of an Amazon SageMaker endpoint with multiple production variants for A/B testing. You also deploy […]
Deploy shadow ML models in Amazon SageMaker
Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker […]
Generate a jazz rock track using AWS DeepComposer with machine learning
At AWS, we love sharing our passion for technology and innovation, and AWS DeepComposer is no exception. This service is designed to help everyone learn about generative artificial intelligence (AI) […]
Gain valuable ML skills with the AWS Machine Learning Engineer Nanodegree Scholarship from Udacity
Amazon Web Services is partnering with Udacity to help educate developers of all skill levels on machine learning (ML) concepts with the AWS Machine Learning Scholarship Program by Udacity by […]
How Digitata provides intelligent pricing on mobile data and voice with Amazon Lookout for Metrics
This is a guest post by Nico Kruger (CTO of Digitata) and Chris King (Sr. ML Specialist SA at AWS). In their own words, “Digitata intelligently transforms pricing and subscriber […]
Rust detection using machine learning on AWS
Visual inspection of industrial environments is a common requirement across heavy industries, such as transportation, construction, and shipbuilding, and typically requires qualified experts to perform the inspection. Inspection locations can […]
Utilizing XGBoost training reports to improve your models
In 2019, AWS unveiled Amazon SageMaker Debugger, a SageMaker capability that enables you to automatically detect a variety of issues that may arise while a model is being trained. SageMaker […]
Using container images to run PyTorch models in AWS Lambda
PyTorch is an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on multiple GPU instances to speed up training, […]