Create an Azure machine learning workspace To get started, you’ll need to create an Azure ML Studio workspace. There are two major routes for doing this.

Designer supports connecting modules to create pipeline drafts and submitting pipeline runs using Azure Machine Learning workspace resources.

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Microsoft announces advances in responsible machine learning that can help developers understand, protect and control their models throughout the machine learning lifecycle.

The free app aims to make machine learning easier for people to use and helps them train models without writing code.