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Whenever you have learned something from data, you have implicitly also compressed the data. In this talk, we explore how we can turn this observation around and use compression to learn explainable models from data. To this end, we look at how we can model and quantify information in data in an interpretable manner, and how we can use this for data mining and machine learning.