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.

When the canned Azure Machine Learning Studio modules don’t do what you want, you can develop Python or R modules. The Azure Machine Learning Studio makes quick work of generating a Web service ...

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. Indeed, the two ...

Microsoft announced the Azure Machine Learning studio web experience is generally available. The company yesterday (July 8) announced the advancement to GA, with a bevy of new features touching upon ...

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

There's already support for Python in Azure Machine Learning Studio, and in August the company announced full Azure Machine Learning support for PyTorch 1.2, a machine-learning framework for ...

Triggers and Bindings with Python in Azure Functions (source: Microsoft). Grigoriu said Python is especially suited for many workloads leveraging the serverless model, especially pertaining to data ...

Microsoft wants to help you process all of it, build APIs and make use of that data in the cloud with machine learning technology. And to that end, Microsoft officially announced at ...