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.

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 ...

Yes, there’s the option of building your own specific models using Azure’s Machine Learning studio, working with tools like PyTorch and TensorFlow to design and train models from scratch.

Using Python in Visual Studio Code for machine learning model training and experimentation is easier in the February 2021 update to the tool that fosters Python programming in Microsoft's popular, ...

If you’re a data scientist comfortable with Python, Azure ML Studio may be your best bet. The ease of use and ability to quickly get models up and running make it ideal for data scientists.

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 ...

This isn't Microsoft's first stab at catering to the Python community. There's already an official Python extension for VS Code and support for Python in Azure Machine Learning Studio and SQL ...