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 ...

Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike. Of the many tools available for tapping neural networks, Microsoft’s Azure ML Studio ...

Microsoft has announced new capabilities to its cloud-based machine learning platform. A new project to advance machine teaching methods has also been released in the form of a public preview.

The Azure Machine Learning Studio makes quick work of generating a Web service for publishing a trained model. This simple model comes from a five-step interactive introduction to Azure ML.

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

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.

The Microsoft Azure Machine Learning service is a cloud service that enables developers and data scientists to build, train and deploy machine learning models.

Azure Machine Learning removes various roadblocks and makes machine learning simple with its plethora of friendly and robust features. The best part is that organizations can reap the benefits of ML ...

To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.