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.

Azure Percept gives you access to affordable hardware that’s ready to work with containerized machine learning models, with a focus on a limited set of scenarios.

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.

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 ...

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 ...

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.

With Azure AI Studio, Microsoft’s making a push for customized models built using its cloud-hosted tooling. It’s a potentially lucrative line of revenue as the Azure OpenAI Service continues ...