Azure Machine Learning Studio does a good job of helping you design training and prediction pipelines for machine learning with a graphical user interface, as we’ve seen.

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 ...

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.

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 ...

The Visual Studio Code (VS Code) extension for Azure Machine Learning is now generally available. It enables users to use their favorite VS Code environment – whether desktop or web – to ...

With Azure AI Studio, Microsoft’s making a push for customized models built using its cloud-hosted tooling. It’s a potentially lucrative line of revenue as the Azure OpenAI Service continues ...

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 ...

And Azure Machine Learning gets new versatility, ... Also read: Databricks comes to Microsoft Azure. Those using Visual Studio Code (which, by the way, runs on Mac and Linux ...