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articles/machine-learning/studio/what-is-ml-studio.md

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# What is Machine Learning Studio (classic)?
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[!INCLUDE [Notebook deprecation notice](../../../includes/aml-studio-notebook-notice.md)]
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[!INCLUDE [Designer notice](../../../includes/designer-notice.md)]
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Microsoft Azure Machine Learning Studio (classic) is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Azure Machine Learning Studio (classic) publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
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Machine Learning Studio (classic) is where data science, predictive analytics, cloud resources, and your data meet.
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## The Machine Learning Studio (classic) interactive workspace
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[!INCLUDE [Notebook deprecation notice](../../../includes/aml-studio-notebook-notice.md)]
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To develop a predictive analysis model, you typically use data from one or more sources, transform, and analyze that data through various data manipulation and statistical functions, and generate a set of results. Developing a model like this is an iterative process. As you modify the various functions and their parameters, your results converge until you are satisfied that you have a trained, effective model.
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Azure Machine Learning Studio (classic) gives you an interactive, visual workspace to easily build, test, and iterate on a predictive analysis model. You drag-and-drop ***datasets*** and analysis ***modules*** onto an interactive canvas, connecting them together to form an ***experiment***, which you run in Machine Learning Studio (classic). To iterate on your model design, you edit the experiment, save a copy if desired, and run it again. When you're ready, you can convert your ***training experiment*** to a ***predictive experiment***, and then publish it as a ***web service*** so that your model can be accessed by others.

includes/designer-notice.md

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> [!TIP]
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> Customers currently using or evaluating Machine Learning Studio (classic) are encouraged to try [Azure Machine Learning designer](https://docs.microsoft.com/azure/machine-learning/concept-designer) (preview), which provides drag and drop ML modules __plus__ scalability, version control, and enterprise security.
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To learn more, see [Azure Machine Learning vs Machine Learning Studio (classic)](../articles/machine-learning/compare-azure-ml-to-studio-classic.md).
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>To learn more, see [Azure Machine Learning vs Machine Learning Studio (classic)](../articles/machine-learning/compare-azure-ml-to-studio-classic.md).

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