Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle ...

Introducing Azure Percept The question is how to build and deploy a safety-oriented machine learning system quickly?

To spot faults quickly even if they take a month to show up, Azure feeds signals into a machine learning system: in the future, you will be able to do that for your own cloud workloads.

Microsoft announces advances in responsible machine learning that can help developers understand, protect and control their models throughout the machine learning lifecycle.

The ‘Machine Learning lifecycle management and possibilities with Azure Machine Learning’ webinar presented exciting insights and an interesting demo.

The automated machine learning capabilities in Azure Machine Learning accelerate model development, creating faster operational plans and forecasts for farmers. Other knowledge—for example, watering ...

Power generator manufacturer Aggreko has begun using Microsoft Azure machine learning to support technicians at its remote monitoring centre in Louisiana, US. The Glasgow-headquartered company ...

At its recent Build developer conference, Microsoft highlighted simplified automated machine learning with three approaches: code-first, drag-and-drop and no-code, the latter of which is now ...

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.

Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure ...