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On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series Book 148)

Wolfgang Pietsch
4.9/5 (18555 ratings)
Description:This book addresses controversies concerning the epistemological foundations of data 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 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.  We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series Book 148). To get started finding On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series Book 148), you are right to find our website which has a comprehensive collection of manuals listed.
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3030864421

On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series Book 148)

Wolfgang Pietsch
4.4/5 (1290744 ratings)
Description: This book addresses controversies concerning the epistemological foundations of data 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 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.  We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series Book 148). To get started finding On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series Book 148), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
3030864421
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