The Microsoft Azure Machine Learning Studio Capabilities Overview diagram gives you a high-level overview of how you can use Machine Learning Studio to develop a predictive analytics model and operationalize it in the Azure cloud.
Azure Machine Learning Studio has available a large number of machine learning algorithms, along with modules that help with data input, output, preparation, and visualization. Using these components you can develop a predictive analytics experiment, iterate on it, and use it to train your model. Then with one click you can operationalize your model in the Azure cloud so that it can be used to score new data.
This diagram demonstrates how all those pieces fit together.
See Machine learning algorithm cheat sheet for Microsoft Azure Machine Learning Studio for additional help in navigating through and choosing the machine learning algorithms available in Machine Learning Studio.
Download the Machine Learning Studio overview diagram
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
More help with Machine Learning Studio
- For an overview of Microsoft Azure Machine Learning, see Introduction to machine learning on Microsoft Azure
- For an overview of Machine Learning Studio, see What is Azure Machine Learning Studio?.
- For a detailed discussion of the machine learning algorithms available in Machine Learning Studio, see How to choose algorithms for Microsoft Azure Machine Learning.
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