Articles liés à On the Epistemology of Data Science: Conceptual Tools...
On the Epistemology of Data Science: Conceptual Tools for a New Inductivism - Couverture rigide
Livre 132 sur 134: Philosophical Studies
Synopsis
Studies the epistemological foundations of data science, in depth
Presents a defense of inductivism and an inductivist framework
Offers an elaboration of a variational approach to induction
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour On the Epistemology of Data Science: Conceptual Tools...
Image d'archives
On the Epistemology of Data Science: Conceptual Tools for a New Inductivism: 148 (Philosophical Studies Series, 148) [Hardcover] [Dec 11, 2021] Pietsch, Wolfgang
Vendeur : StainesBookhub, Weybridge, SURRE, Royaume-Uni
Évaluation du vendeur 2 sur 5 étoiles
Etat : New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage. N° de réf. du vendeur SPRINGERNEW40063
Acheter neuf
EUR 82,81
Expédition à EUR 34,91
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series, 148)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783030864415_new
Acheter neuf
EUR 116,14
Expédition à EUR 13,94
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
On the Epistemology of Data Science
Edité par
Springer International Publishing Dez 2021, 2021
ISBN 10 : 3030864413
ISBN 13 : 9783030864415
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own The author proposes a coherent conceptual framework with which these questions can be rigorously addressed.Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo's recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework.The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science.Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science. 316 pp. Englisch. N° de réf. du vendeur 9783030864415
Acheter neuf
EUR 117,69
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
On the Epistemology of Data Science
Edité par
Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3030864413
ISBN 13 : 9783030864415
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less. N° de réf. du vendeur 492756386
Acheter neuf
EUR 101,04
Expédition à EUR 48,99
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series, 148)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26390224981
Acheter neuf
EUR 160,06
Expédition à EUR 3,44
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 4 disponible(s)
Image d'archives
On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series, 148)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur 389407626
Acheter neuf
EUR 162,82
Expédition à EUR 7,56
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 4 disponible(s)
Image fournie par le vendeur
On the Epistemology of Data Science
Edité par
Springer, Springer Dez 2021, 2021
ISBN 10 : 3030864413
ISBN 13 : 9783030864415
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own The author proposes a coherent conceptual framework with which these questions can be rigorously addressed.Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russös recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework.The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science.Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch. N° de réf. du vendeur 9783030864415
Acheter neuf
EUR 117,69
Expédition à EUR 60
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
On the Epistemology of Data Science : Conceptual Tools for a New Inductivism
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030864413
ISBN 13 : 9783030864415
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own The author proposes a coherent conceptual framework with which these questions can be rigorously addressed.Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo's recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework.The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science.Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science. N° de réf. du vendeur 9783030864415
Acheter neuf
EUR 117,69
Expédition à EUR 63,21
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)