LAS VEGAS, Nov. 28, 2018 /PRNewswire/ -- AWS re:Invent 2018 -- H2O.ai, an open source leader in AI, today announced the launch of award-winning automatic machine learning (ML) platform, H2O ...

After just four months, customers are building more than one million models per month. H2O.ai announced that it has added key new features to Driverless AI based on customer insights and usage.

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.” ...

Machine learning is an iterative process that requires teams to build, train, and deploy applications quickly, as well as train, retrain, and experiment frequently to increase the prediction ...

For model building, Amazon SageMaker lets you build, train, and deploy machine learning and deep learning models; SageMaker Studio is based on the popular JupyterLab web-based development environment.

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, is releasing Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models.

AWS says it can speed up training by up to 50%. Next, Amazon SageMaker Inference Recommender automates load testing and optimizes model performance across machine learning instances.

Customers can rely on Meta and AWS to collaborate on PyTorch, making it easier for them to build, train, and deploy deep learning models on AWS.” ...