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Titlebook: On the Epistemology of Data Science; Conceptual Tools for Wolfgang Pietsch Book 2022 Springer Nature Switzerland AG 2022 Causal approach to

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發(fā)表于 2025-3-21 17:14:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱On the Epistemology of Data Science
副標(biāo)題Conceptual Tools for
編輯Wolfgang Pietsch
視頻videohttp://file.papertrans.cn/702/701156/701156.mp4
概述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
叢書名稱Philosophical Studies Series
圖書封面Titlebook: On the Epistemology of Data Science; Conceptual Tools for Wolfgang Pietsch Book 2022 Springer Nature Switzerland AG 2022 Causal approach to
描述.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 cas
出版日期Book 2022
關(guān)鍵詞Causal approach to analogy; Causation difference making; Data science exploratory experimentation; Data
版次1
doihttps://doi.org/10.1007/978-3-030-86442-2
isbn_softcover978-3-030-86444-6
isbn_ebook978-3-030-86442-2Series ISSN 0921-8599 Series E-ISSN 2542-8349
issn_series 0921-8599
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Wolfgang Pietschation advice from the experts.Includes supplementary materia.Proteomics is a rapidly expanding investigation platform in cardiovascular medicine. Driven by major improvements in mass spectrometry (MS) instrumentation and data analysis, the proteomics field has flourished in recent years particularly
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Wolfgang Pietschtation and data analysis, the proteomics field has flourished in recent years particularly in the study of complex diseases. These recent advances are characterized by the development of quantitative MS-based methods that promoted the field from primarily identifying proteins to also providing measu
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Wolfgang Pietschtation and data analysis, the proteomics field has flourished in recent years particularly in the study of complex diseases. These recent advances are characterized by the development of quantitative MS-based methods that promoted the field from primarily identifying proteins to also providing measu
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Wolfgang Pietschtation and data analysis, the proteomics field has flourished in recent years particularly in the study of complex diseases. These recent advances are characterized by the development of quantitative MS-based methods that promoted the field from primarily identifying proteins to also providing measu
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Wolfgang Pietschtation and data analysis, the proteomics field has flourished in recent years particularly in the study of complex diseases. These recent advances are characterized by the development of quantitative MS-based methods that promoted the field from primarily identifying proteins to also providing measu
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Wolfgang Pietschtation and data analysis, the proteomics field has flourished in recent years particularly in the study of complex diseases. These recent advances are characterized by the development of quantitative MS-based methods that promoted the field from primarily identifying proteins to also providing measu
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Wolfgang Pietschtation and data analysis, the proteomics field has flourished in recent years particularly in the study of complex diseases. These recent advances are characterized by the development of quantitative MS-based methods that promoted the field from primarily identifying proteins to also providing measu
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