Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike. Of the many tools available for tapping neural networks, Microsoft’s Azure ML Studio ...

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 ...

The Azure Machine Learning Studio was introduced way back in 2014. It helps developers build and train custom models, and then deploy and manage them to the cloud or edge, while monitoring performance ...

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 Visual Studio Code (VS Code) extension for Azure Machine Learning is now generally available. It enables users to use their favorite VS Code environment – whether desktop or web – to ...

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. Indeed, the two ...

IBM Watson Studio is a platform created for software developers and data scientists to create, run, manage and scale machine learning capabilities that can be embedded into applications.

Cosmos DB's entry level pricing has come way down, opening up the service to a much broader audience. And Azure Machine Learning gets new versatility, including usability from virtually all Python ...

There's also a related tool called Azure Machine Learning Studio, which is a drag-and-drop tool for building, testing, and deploying predictive analytics on user data. But there's another machine ...