Questions about Modern Applications?Get in touch »
Other content in this Stream
Delight your customers with machine learning-driven products, services, and customer experiences.
Gain an overall understanding of the model deployment options to help meet your needs, whether real-time or batch, in Amazon SageMaker.
Improve performance for training deep learning models and reduce training times.
Easily prepare data, and build, train, and deploy machine learning applications with AWS.
Accelerate machine learning with low-cost, high-performance, ML-optimized infrastructure.
How teams are accelerating the training and deployment of machine learning models?
Operations are at the heart of driving success for organizations’ cloud migration and modernization journeys. AWS has spent more than a decade helping organizations move to and operate in the cloud.
Speaker: Mike Apted, AWS Solutions Architect
This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! It’s the beginning of a new week, and I’d like to start...
Today, I am happy to announce that you can now use Amazon SageMaker Ground Truth to generate labeled synthetic image data. Building machine learning (ML) models is an iterative process that, at a...
As I was getting ready to write this post I spent some time thinking about some of the coding tools that I have used over the course of my career. This includes the line-oriented editor that was...