By using H2O Driverless AI on AWS, customers are able to train, optimize and deploy trusted ML models to accelerate the process of extracting business insights.

The new tools and capabilities will make it faster and cheaper to label data, train machine learning models, and deploy models for inference.

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.

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users.

H2O Driverless AI empowers data scientists and data analysts to work on projects faster and more efficiently by using automation and state-of-the-art computing power to accomplish tasks that typically ...

H2O’s APIs allow developers to rapidly innovate and deploy smarter business applications in private and public clouds. Google-scale Prediction APIs enable developers to train and test models on ...