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The Agnostic Structure Of Data Science Methods, Domenico Napoletani, Marco Panza, Daniele Struppa
The Agnostic Structure Of Data Science Methods, Domenico Napoletani, Marco Panza, Daniele Struppa
MPP Published Research
In this paper we argue that data science is a coherent and novel approach to empirical problems that, in its most general form, does not build understanding about phenomena. Within the new type of mathematization at work in data science, mathematical methods are not selected because of any relevance for a problem at hand; mathematical methods are applied to a specific problem only by `forcing’, i.e. on the basis of their ability to reorganize the data for further analysis and the intrinsic richness of their mathematical structure. In particular, we argue that deep learning neural networks are best understood within …