Download the **Microsoft Azure Machine Learning Studio Capabilities Overview** diagram and get a high-level view of the capabilities of Machine Learning Studio. To keep it nearby, you can print the diagram in tabloid size (11 x 17 in.).

**Download the diagram here: [Microsoft Azure Machine Learning Studio Capabilities Overview](http://download.microsoft.com/download/C/4/6/C4606116-522F-428A-BE04-B6D3213E9E52/ml_studio_overview_v1.1.pdf)**

When you first enter [Machine Learning Studio](https://studio.azureml.net) you see the **Home** page. From here you can view documentation, videos, webinars, and find other valuable resources.

Once your predictive analytics model is ready, you can deploy it as a web service right from Machine Learning Studio. For more details on this process, see [Deploy an Azure Machine Learning web service](publish-a-machine-learning-web-service.md).

You can learn the basics of predictive analytics and machine learning using a [step-by-step quickstart](create-experiment.md) and by [building on samples](sample-experiments.md).

[convert-to-arff]: https://msdn.microsoft.com/library/azure/62d2cece-d832-4a7a-a0bd-f01f03af0960/

[elementary-statistics]: https://msdn.microsoft.com/library/azure/3086b8d4-c895-45ba-8aa9-34f0c944d4d3/