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 ...

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 Azure Machine Learning studio web experience is generally availabl, enabling data scientists and data engineers to complete their end-to-end machine learning lifecycle from prepping and ...

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.

If you’re familiar with Microsoft’s Cognitive Services tools, you can also use the Azure Machine Learning studio or a local development environment using Visual Studio Code.

Microsoft wants companies to build their own AI-powered “copilots” — using tools on Azure and machine learning models from its close partner OpenAI, of course. Microsoft defines a “copilot ...

Microsoft rolled out updates across its AI and machine learning cloud portfolio during its Ignite 2020 virtual conference.