Accountability APIs Training 
AWS Machine Learning
AUGUST 2, 2024
GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. allows you to define multiple training targets on different nodes and edges within a single training loop. Specifically, GraphStorm 0.3
AWS Machine Learning
NOVEMBER 14, 2024
For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.
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AWS Machine Learning
OCTOBER 18, 2024
SageMaker is an excellent choice for model training, because it reduces the time and cost to train and tune ML models at scale without the need to manage infrastructure. Because you pay only for what you use, you can manage your training costs more effectively. The final model artifact is saved to an S3 bucket.
AWS Machine Learning
OCTOBER 19, 2023
In this post, we discuss how to use the Custom Moderation feature in Amazon Rekognition to enhance the accuracy of your pre-trained content moderation API. You can train a custom adapter with as few as 20 annotated images in less than 1 hour. Create a project A project is a container to store your adapters.
AWS Machine Learning
FEBRUARY 13, 2024
Features are inputs to ML models used during training and inference. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. For a deep dive, refer to Cross account feature group discoverability and access.
AWS Machine Learning
OCTOBER 5, 2022
So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. To put it into perspective: account takeover fraud increased by 90% to an estimated $11.4 Overview of solution.
AWS Machine Learning
JUNE 30, 2022
In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.
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