Microsoft announced the Azure Machine Learning studio web experience is generally available with a bunch of new features. Here's what's new.

Microsoft Azure Machine Learning Studio is a cloud service for performing value prediction (regression), anomaly detection, structure discovery (clustering), and category prediction (classification).

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

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.

Machine learning and predictive analytics are hot, emerging areas of the developer space right now, and Microsoft's new Azure cloud service could help make it more accessible to the masses.

The original Azure Machine Learning service -- now called Azure Machine Learning Studio -- was a sort of visual development environment for doing machine learning (ML) work.

See what features you can expect from Azure Machine Learning and IBM Watson to decide which AI software to choose.

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.