A module is an algorithm that can be applied to data. A large number of machine learning algorithms are available in Azure Machine Learning Studio. But the development environment is not limited to this by providing numerous tools for preparing and displaying data. Using these components, it is possible to develop an experiment of machine learning analysis to run the iteration on it and to use it to perform the training of the model. The model obtained can thus be saved in the Azure Cloud so that it can be used to obtain new data.

The algorithms present in the studio allow us to face the following machine learning tasks:

• Clustering
• Anomaly detection
• Regression
• Two-class classification
• Multi-class classification
• Computer vision
• Text analytics
• Statistical functions

When an experiment is set up, you can choose a module from those available on the left-hand side of the work area (module palette).