Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure ...

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.

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.

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.

5. No-code Machine Learning Development The original Azure ML Studio is now integrated with Azure ML services.

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

Working with Azure ML in VS Code in Animated Action (source: Microsoft). Now, users in the Azure ML Studio UI (a web portal with low-code and no-code options for project authoring and asset management ...