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.

Introducing Azure Notebooks Getting to grips with machine learning can be tricky. It’s hard to visualize data at scale, and harder still to understand how analytics can drive machine learning.

Microsoft Azure Notebooks is part of a growing movement to make learning complex programming concepts easier.

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. An update ...

The notebooks come pre-packaged with support for the Azure Machine Learning Python SDK and run in what the company describes as a “secure, enterprise-ready environment.” ...

Microsoft has expanded the data-analysis offerings on its Azure cloud, offering a machine learning service to help organizations derive more insight from mountains of unstructured data. The new ...

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 ...

This capability allows customers to build models with Azure Machine Learning anywhere, including on-premises, multi-cloud environments, and at the edge.