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

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

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

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

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

Azure SQL Database Machine Learning services preview Support for R models inside SQL Database makes it seamless for data scientists to develop and train models in Azure Machine Learning and deploy ...

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.

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.

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 ...