Machine Learning for Developers
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Events

In order to understand probabilities, we first need to define events. An event is, given an experiment in which we perform a determined action with different possible results, a subset of all the possible outcomes for that experiment.

Examples of events are a particular dice number appearing, and a product defect of particular type appearing on an assembly line.