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

More complex solutions built using Visual Studio Code and TensorFlow can be managed using GitHub to host a container registry to deploy ready-to-run models to Percept devices.

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

Azure Arc is Microsoft's offering for allowing customers to bring Azure services and management to any infrastructure, including AWS and Google Cloud. This year, during the virtual Ignite ...

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, ...

Choosing between Azure ML vs IBM Watson What is Azure Machine Learning? Azure Machine Learning is a cloud-based service that allows data scientists or developers to train, build and deploy ML models.

Open Mind is a Visual Studio-like suite for machine learning, according to slides from an August 2 talk by Microsoft Executive Vice President of Applications and Services Qi Lu.

Microsoft is continuing to bang the AI drum with its developer tools, with its latest announcement that VS Code is shipping as part of the Anaconda Python distribution.