Welcome to Azure Machine Learning Studio (classic)
Updates
Simplify and accelerate AI for the entire data science team with Azure Machine Learning designer
At Microsoft Ignite, we announced the general availability of Azure Machine Learning designer, the drag-and-drop workflow capability in Azure Machine Learning studio which simplifies and accelerates the process of building, testing, and deploying machine learning models for the entire data science team, from beginners to professionals. We launched the preview in November 2019, and we have been excited with the strong customer interest. We listened to our customers and appreciated all the feedback. Your responses helped us reach this milestone. Thank you.
ML Studio (classic) vs Azure Machine Learning studio
Released in 2015, ML Studio (classic) was our first drag-and-drop machine learning builder. It is a standalone service that only offers a visual experience. Studio (classic) does not interoperate with Azure Machine Learning. Azure Machine Learning is a separate and modernized service that delivers a complete data science platform. It supports both code-first and low-code experiences. Azure Machine Learning studio is a web portal in Azure Machine Learning that contains low-code and no-code options for project authoring and asset management.
1
Getting Started

Take a quick tour of the Azure ML Studio features.

2
Getting and Saving Data

Get, upload, and save data to your workspace.

3
Preprocessing Data

Clean, transform, and normalize your data.

4
Predictive Modeling

Learn the steps required for building, scoring and evaluating a predictive model.

5
Publish a Predictive Model

Publish and stage your predictive model as an Azure-based service.