The Azure Machine Learning Studio was introduced way back in 2014. The new web offering helps developers build and train custom models, and then deploy and manage them to the cloud or edge, while ...

At Build 2020 today, Eric Boyd, CVP of Microsoft Azure AI, reaffirmed the company's beliefs regarding an increasing need in today's world to build AI systems that "behave fairly" and comply with ...

It’s a replacement for the original ML Studio tool, adding deeper integration into Azure’s machine learning SDKs and with support for more than CPU-based models, offering GPU-powered machine ...

Similar to software apps, ML apps need to be secure as well. If a ML model is designed to analyze sensitive information, malicious hackers could use attacks to access this information. Azure ML allows ...

The original Azure Machine Learning service -- now called Azure Machine Learning Studio -- was a sort of visual development environment for doing machine learning (ML) work.

Microsoft has done a lot to encourage use of machine learning models in Azure, but there’s scope for their use in many other parts of its ecosystem. One increasingly important use is on Windows ...

The software will reside inside Microsoft’s AI and ML portfolio, which includes the firm’s Cognitive Services brand and the wider Azure ML Studio.

This tool, the Azure Machine Learning visual interface, looks suspiciously like the existing Azure ML Studio, Microsoft’s first stab at building a visual machine learning tool.