On the Epistemology of Data Science: Conceptual Tools for a New Inductivism by W

Description: On the Epistemology of Data Science by Wolfgang Pietsch Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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 by definition has to be inductivist, given that data science starts with the data. Publisher Description 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 Russos 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. Author Biography 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 Details ISBN 3030864413 ISBN-13 9783030864415 Title On the Epistemology of Data Science Author Wolfgang Pietsch Format Hardcover Year 2021 Pages 295 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:137855581; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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