The overall workflow for Azure Machine Learning, shown in the figure below, moves from data preparation to model building, to training and testing, to model management and deployment.

Microsoft also announced that the Azure Machine Learning service now includes a software development kit, or SDK, for the Python programming language, which is popular among data scientists.

It’s a similar approach to that used by Azure Machine Learning’s automated AI service. ... the Power Automate no-code workflow tool and Teams both support web hook triggers.

It also supports the Azure ML 2.0 CLI, which is the new command-line tool that simplifies the specification and execution of machine learning tasks." He goes on to explain how devs can get started ...

“That’s the beauty of Azure Machine Learning.” The Dr. Pig app is able to take detailed historical data, analyze it and make predictions. The tools in Azure Machine Learning include an easy-to-use ...

Microsoft last week released the preview of the PowerShell Module for its Azure Machine Learning (ML) service. The Azure ML PowerShell cmdlets library, available on GitHub, lets users interact ...

Microsoft Azure ML. Microsoft's cloud-based machine- learning platform integrates a variety of tools to ... H2O AutoML eases the machine-learning workflow with automatic training and tuning of ...

Azure Machine Learning is a cloud-based service that allows data scientists or developers to train, build and deploy ML models. It has a rich set of tools that makes it easy to create predictive ...

Also announced today by Microsoft: a fully managed Azure Blockchain Service, Unreal Engine developer support for HoloLens 2, new Azure Machine Learning tools, and the debut of Azure SQL Database Edge.