標(biāo)題: Titlebook: On the Epistemology of Data Science; Conceptual Tools for Wolfgang Pietsch Book 2022 Springer Nature Switzerland AG 2022 Causal approach to [打印本頁] 作者: 削木頭 時(shí)間: 2025-3-21 17:14
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作者: 整體 時(shí)間: 2025-3-21 20:56 作者: champaign 時(shí)間: 2025-3-22 02:49
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作者: 較早 時(shí)間: 2025-3-22 04:45
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作者: Firefly 時(shí)間: 2025-3-22 12:09
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作者: 法律 時(shí)間: 2025-3-22 14:34
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作者: 舊病復(fù)發(fā) 時(shí)間: 2025-3-22 19:11
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作者: 能得到 時(shí)間: 2025-3-23 01:17
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作者: ferment 時(shí)間: 2025-3-23 04:17
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作者: 群居動(dòng)物 時(shí)間: 2025-3-23 06:54 作者: glacial 時(shí)間: 2025-3-23 10:07
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作者: RUPT 時(shí)間: 2025-3-23 17:44 作者: 會(huì)犯錯(cuò)誤 時(shí)間: 2025-3-23 19:37 作者: 溺愛 時(shí)間: 2025-3-24 01:28 作者: 相同 時(shí)間: 2025-3-24 06:12 作者: uveitis 時(shí)間: 2025-3-24 07:59
Variational Induction,hips from observed regularities, i.e. from the repetition of instances. Eliminative induction proceeds by eliminating hypotheses from a given exhaustive and mutually exclusive set. Variational induction infers causal relationships from systematically varying the circumstances of the examined phenome作者: Oratory 時(shí)間: 2025-3-24 13:05
Causation as Difference Making,s of causation do not imply the variational evidence that is typically used in data science. The approach, which turns out to be most suitable for analyzing data-scientific practice, is the counterfactual account. The remainder of the chapter therefore is devoted to developing a refined version of t作者: 代替 時(shí)間: 2025-3-24 16:56 作者: Keshan-disease 時(shí)間: 2025-3-24 22:09 作者: Robust 時(shí)間: 2025-3-25 03:11
Analogy,ow evidence from various phenomena can be combined and made relevant for theory development and prediction. First, some influential accounts of analogical reasoning, both historical and contemporary, are reviewed focusing in particular on Keynes, Carnap, Hesse, and more recently Bartha. I argue that作者: IRK 時(shí)間: 2025-3-25 06:31 作者: 強(qiáng)壯 時(shí)間: 2025-3-25 09:11
Conclusion,utes. Essentially, data science is identified as a phenomenological approach relying primarily on inductive inferences. More exactly, the prevalent type of induction is variational induction. The second part comprising Chaps. ., ., ., ., and . develops a conceptual framework and a corresponding indu作者: HEDGE 時(shí)間: 2025-3-25 12:42 作者: Filibuster 時(shí)間: 2025-3-25 16:19
https://doi.org/10.1007/978-3-030-86442-2Causal approach to analogy; Causation difference making; Data science exploratory experimentation; Data作者: 極大痛苦 時(shí)間: 2025-3-25 20:15 作者: interrogate 時(shí)間: 2025-3-26 01:55 作者: 幼兒 時(shí)間: 2025-3-26 06:52
Wolfgang PietschStudies 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作者: 指派 時(shí)間: 2025-3-26 12:26 作者: Motilin 時(shí)間: 2025-3-26 16:20
Variational Induction,general skepticism concerning inductivist approaches, variational induction has largely been neglected in twentieth century philosophy of science. However, variational induction constitutes the central methodology of phenomenological science. Also, most, if not all, data science and machine learning algorithms rely on variational induction.作者: 社團(tuán) 時(shí)間: 2025-3-26 20:49 作者: 新義 時(shí)間: 2025-3-26 22:04
0921-8599 laboration of a variational approach to induction.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 作者: Deject 時(shí)間: 2025-3-27 05:07
Phenomenological Science,cular underdetermination, theory-ladenness of observation and confirmational holism, turn out to be relevant mainly for theoretical science rather than for phenomenological science. Given that data science is a phenomenological approach, these arguments cannot undermine the project of an inductivist data science.作者: Eclampsia 時(shí)間: 2025-3-27 08:03 作者: 多骨 時(shí)間: 2025-3-27 10:10 作者: 先鋒派 時(shí)間: 2025-3-27 14:58
Wolfgang Pietsch of genes during pathogen challenge and plant development. It also can be used in moderate-throughput reverse genetics screens to determine gene function. However, the number of viruses modified to serve as silencing vectors in grasses is limited, and the silencing phenotype induced by these vectors作者: 假設(shè) 時(shí)間: 2025-3-27 21:44
Wolfgang Pietschthods in Molecular Biology?. series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls..?.Authoritative and easily accessible, .Vascul作者: Scleroderma 時(shí)間: 2025-3-27 23:59 作者: 戰(zhàn)勝 時(shí)間: 2025-3-28 02:19 作者: Toxoid-Vaccines 時(shí)間: 2025-3-28 09:02 作者: echnic 時(shí)間: 2025-3-28 13:19
Wolfgang Pietschthods in Molecular Biology?. series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls..?.Authoritative and easily accessible, .Vascul作者: 燦爛 時(shí)間: 2025-3-28 14:47 作者: enchant 時(shí)間: 2025-3-28 21:24 作者: cardiopulmonary 時(shí)間: 2025-3-29 02:17
Introduction,ive approaches can be scientifically relevant, in particular why they can establish reliable predictions or allow for effective interventions. Seventh, the conceptual core of causality in data science consists in difference-making, i.e. that a change in circumstances produces a change in the examine作者: maintenance 時(shí)間: 2025-3-29 04:13
Causation as Difference Making,o fundamental notions, while many traditional analyses of causal dependency have been based on the necessity and sufficiency of circumstances or conditions. Further concepts are derived from the two fundamental notions, in particular causal factors, alternative causes and inus complexes. Finally, so作者: 不出名 時(shí)間: 2025-3-29 08:44
Evidence,) repeatability of background and causal conditions. This analysis mitigates the problem of induction insofar as it is relevant for the project of an inductivist data science. Since many data science algorithms implement variational induction, the above analysis can be used to determine the necessar作者: Endometrium 時(shí)間: 2025-3-29 12:44
