AWS News Blog

Category: Amazon Machine Learning

Thoughts On Machine Learning Accuracy

This blog shares some brief thoughts on machine learning accuracy and bias. Let’s start with some comments about a recent ACLU blog in which they ran a facial recognition trial. Using Rekognition, the ACLU built a face database using 25,000 publicly available arrest photos and then performed facial similarity searches on that database using public […]

Read More

AWS Online Tech Talks – July 2018

Join us this month to learn about AWS services and solutions featuring topics on Amazon EMR, Amazon SageMaker, AWS Lambda, Amazon S3, Amazon WorkSpaces, Amazon EC2 Fleet and more! We also have our third episode of the “How to re:Invent” where we’ll dive deep with the AWS Training and Certification team on Bootcamps, Hands-on Labs, […]

Read More

Auto Scaling is now available for Amazon SageMaker

Kumar Venkateswar, Product Manager on the AWS ML Platforms Team, shares details on the announcement of Auto Scaling with Amazon SageMaker. With Amazon SageMaker, thousands of customers have been able to easily build, train and deploy their machine learning (ML) models. Today, we’re making it even easier to manage production ML models, with Auto Scaling […]

Read More

Amazon Machine Learning – Make Data-Driven Decisions at Scale

Today, it is relatively straightforward and inexpensive to observe and collect vast amounts of operational data about a system, product, or process. Not surprisingly, there can be tremendous amounts of information buried within gigabytes of customer purchase data, web site navigation trails, or responses to email campaigns. The good news is that all of this […]

Read More