Azure Machine Learning workspace

Azure Machine Learning is the newest member of the ML service family in Azure. It was initially built as an umbrella to combine all other ML services under a single workspace, and hence is also often referred to as the Azure Machine Learning workspace. Currently, it provides, combines, and abstracts many important ML infrastructure services and functionality such as tracking experiment runs and outputs, a model registry, an environment and container registry based on Conda and Docker, a dataset registry, pipelines, compute and storage infrastructure, and much more.

Besides all of the infrastructure services, it also integrates Azure Automated Machine Learning, Azure Machine Learning designer (, and a data-labeling UI in a single workspace that can share the same infrastructure resources. It is, in fact, the ML service that you are looking for if you want to do something serious. In many cases, it does all you can ask for and more. In this section...