Titlebook: On the Epistemology of Data Science; Conceptual Tools for Wolfgang Pietsch Book 2022 Springer Nature Switzerland AG 2022 Causal approach to

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Introduction,ive approaches can be scientifically relevant, in particular why they can establish reliable predictions or allow for effective interventions. Seventh, the conceptual core of causality in data science consists in difference-making, i.e. that a change in circumstances produces a change in the examine

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Causation as Difference Making,o fundamental notions, while many traditional analyses of causal dependency have been based on the necessity and sufficiency of circumstances or conditions. Further concepts are derived from the two fundamental notions, in particular causal factors, alternative causes and inus complexes. Finally, so

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Evidence,) repeatability of background and causal conditions. This analysis mitigates the problem of induction insofar as it is relevant for the project of an inductivist data science. Since many data science algorithms implement variational induction, the above analysis can be used to determine the necessar

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