The basic components of AMLS are experiments. They are built by dragging and dropping predefined modules into a workspace. Each module has some defined task, a given number of parameters that can be chosen at runtime, and a defined number of input and output nodes. Here is a screenshot of the AMLS module:
They can be connected to build an analysis workflow, from data input and transformation to machine learning model training and results. We will go step by step and create a machine learning experiment, training a decision tree to predict the survival of the Titanic passengers.
