News
As AWS CEO Andy Jassy put it while introducing the new service on stage at re:invent, “Amazon SageMaker, an easy way to train, deploy machine learning models for every day developers.” The new ...
Alteryx has also achieved Amazon Web Services (AWS) Machine Learning (ML ... cutting-edge tools to create and deploy predictive models on AWS. Deployment of predictive models continues ...
From data collection, cleaning, and analysis - the amount of work required to prepare data for an machine learning model is very extensive Toggle navigation Subscribe ...
The new tools and capabilities will make it faster and cheaper to label data, train machine learning models, and deploy models for inference. Written by Stephanie Condon, Senior Writer Dec. 1 ...
Machine learning frameworks like PyTorch and TensorFlow have seen more adoption than SageMaker, but 85% of TensorFlow use in the cloud today happens with AWS, Jassy said.
Today at AWS re:Invent, AWS introduced Amazon SageMaker Clarify to help reduce bias in machine learning models. “We are launching Amazon SageMaker Clarify. And what that […] ...
AWS is now expanding the capabilities further with the general availability of the managed MLflow on SageMaker service. MLflow is a popular open-source platform for the machine learning lifecycle ...
AWS said the new features will allow enterprises to scale governance across their ML model lifecycle. As the number of machine learning models increases, it can get challenging for enterprises to ...
AWS DeepRacer is an autonomous 1/18th scale race car that’s designed to test machine learning models by racing on a physical track. Students have to design and build models for the autonomous ...
We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results