The workspace is the top-level resource for Azure Machine Learning. It keeps a history of all training runs, with logs, metrics, output, and a snapshot of your scripts.

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

What is an Azure Machine Learning workspace? Workspaces are places to collaborate with colleagues to create machine learning artifacts and group related work. For example, …

This tutorial gets you started with the Azure Machine Learning service by walking through the requirements and instructions for setting up a workspace, the top-level resource for Azure ML.

An Azure Machine Learning workspace provides a central place for managing all resources and assets you need to train and manage your models. You can provision a workspace using the …

An Azure ML workspace is the top-level resource for Azure Machine Learning. It provides a centralized place to track the assets and resources used in your ML workflows, along with the …

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Jul 31, 2025 · The workspace is the top-level resource for Azure Machine Learning. It keeps a history of all training runs, with logs, metrics, output, and a snapshot of your scripts.

Apr 1, 2025 · Azure Machine Learning Studio is a powerful cloud-based platform designed to streamline the entire machine learning (ML) lifecycle, from data preparation to model …

May 13, 2025 · Create a hub workspace in Azure portal, with Azure Resource Manager templates, or via Azure Machine Learning SDK/CLI. You might customize networking, identity, encryption, …