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 ...

, SageMaker aims to make machine learning adoption simpler for customers by bringing together a hosted environment for Jupyter notebooks with built-in model management, automated spin up of ...

Most organizations are in the middle layer, Saha explained. That involves AWS building the machine learning infrastructure so customers can focus on what Saha called “the differentiated work of ...

On the second day of Amazon Web Services (AWS) re:Invent, Swami Sivasubramanian, vice president of AWS Data and Machine Learning (ML) revealed the latest innovations during his keynote. To start ...

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 ...

AWS SageMaker Studio is a model training and workflow management tool that collects all the code, notebooks, and project folders for machine learning into one place, while SageMaker Notebooks lets ...

A machine learning model at the back end that drives scheduling can make real-time adjustments in context of the rules input by an enterprise, AWS said, adding that enterprises can take advantage ...

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 ...

The AWS DeepRacer is an almost toylike 1/18th scale race car. It comes with all of the sensors and software tools to help developers build machine learning models to drive the car around a course ...