Azure Machine Learning automates machine learning to make it easier to build, train and deploy models. The service is generally available now, with pricing to go into effect February 1, 2019. BT ...

Azure Machine Learning supports five environments for model development: Azure Notebooks, the Data Science Virtual Machine (DSVM), Jupyter Notebooks, Visual Studio Code, and Azure Databricks.

With the Azure service, programmers can use either the R programming language or Python. Machine learning algorithms may be purchased in the Microsoft Azure Marketplace, or obtained for no cost in ...

The Microsoft Azure Machine Learning service makes it easier to create predictive analytics solutions, connect them to other Azure products, and publish them as APIs Topics Spotlight: Managing ...

The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict. Users don’t need to ...

Cosmos DB's entry level pricing has come way down, opening up the service to a much broader audience. And Azure Machine Learning gets new versatility, including usability from virtually all Python ...

Microsoft first launched Machine Learning as a preview in June 2014, though did not state when the service would go live. Early users include the Pier 1 retail chain, Carnegie Mellon University ...

Machine learning and predictive analytics are hot, emerging areas of the developer space right now, and Microsoft's new Azure cloud service could help make it more accessible to the masses.

One company using the service in early preview, MAX451, is “helping a large retail customer determine what products a customer is most likely to purchase next, based on ecommerce data as well as ...

Hewlett Packard Enterprise outlined a machine-learning-as-a-service effort that runs on Microsoft's Azure platform. The service, called HPE Haven OnDemand, provides application programming ...