Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Microsoft dev teams for Azure Machine Learning (Azure ML) and Visual Studio Code have improved the developer experience in the super-popular, open source-based, cross-platform code editor.

The VS Code extension for Azure Machine Learning enables the creation, training and management of ML models directly in Microsoft's code editor.

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 Azure Machine Learning Studio is a cloud service for performing value prediction (regression), anomaly detection, structure discovery (clustering), and category prediction (classification).

The tools in Azure Machine Learning include an easy-to-use visual interface, starter templates and drag and drop workflows. It’s also simple to load data without any programming. “Two or three decades ...

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

With the rapid pace of change in AI and machine learning, it’s no surprise Microsoft had its usual strong presence at this year’s NVIDIA GTC.