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

Jump into Microsoft’s drag-and-drop machine learning studio with this hands-on tutorial Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike.

Dr. McCaffrey walks you through how to use the Microsoft Azure Machine Learning Studio, a new front-end for Microsoft Azure Machine Learning, to get a neural prediction system up and running.

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.

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

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.

The Microsoft Azure Machine Learning service is a cloud service that enables developers and data scientists to build, train and deploy machine learning models.

To spot faults quickly even if they take a month to show up, Azure feeds signals into a machine learning system: in the future, you will be able to do that for your own cloud workloads.

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 ...

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