Thermodynamics of Learning Physical Phenomena

Abstract Thermodynamics could be seen as an expression of physics at a high epistemic level. As such, its potential inductive bias to help machine learning procedures attain accurate and credible predictions has been recently realized in many fields. We review how thermodynamics provides helpful insights the process. At same time, we study influence aspects such scale which given phenomenon is described, choice relevant variables for this description or different techniques available