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32:29Gain an overall understanding of the model deployment options to help meet your needs, whether real-time or batch, in Amazon SageMaker.
28:04Improve 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.
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.
57:21AWS MVP CTO Fellowship: How to Get the Most out of your Cloud Spend with Mike Apted
Speaker: Mike Apted, AWS Solutions Architect
AWS Week in Review – June 27, 2022
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...
New – Amazon SageMaker Ground Truth Now Supports Synthetic Data Generation
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...
Now in Preview – Amazon CodeWhisperer- ML-Powered Coding Companion
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...
