On the Epistemology of Data Science
Studies the epistemological foundations of data science, in depthPresents a defense of inductivism and an inductivist frameworkOffers an elaboration of a variational approach to induction
| Autor: | Pietsch, Wolfgang |
|---|---|
| ISBN: | 9783030864446 |
| Sprache: | Englisch |
| Seitenzahl: | 295 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 11.12.2022 |
| Untertitel: | Conceptual Tools for a New Inductivism |
| Schlagworte: | Causal approach to analogy Causation difference making Data science and explanation Data science exploratory experimentation Data science phenomenological science Epistemology of data science Refining eliminative induction Symmetries in probabilistic reasoning Variational approach to induction data science theory |
Wolfgang Pietsch is a philosopher of science and technology with a background in physics, affiliated with the Munich Center for Technology in Society of Technical University Munich. His main research interest is scientific method, examining scientific practice in different disciplines, in particular the engineering sciences and data science. He works on fundamental concepts like causation and probability as well as different inductive methods, in particular analogical inferences and variational approaches to induction. Wolfgang was a Poiesis Fellow of the Institute for Public Knowledge of New York University and has co-directed for many years the working group on philosophy of physics of the German Physical Society. See also his website www.wolfgangpietsch.de.