Big Data

Big Data
Wolfgang Pietsch
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NZ$ 35.95
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Paperback
h229 x 152mm - 75pg
18 Feb 2021 UK
International import eta 7-19 days
9781108706698
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Big Data and methods for analyzing large data sets such as machine learning have in recent times deeply transformed scientific practice in many fields. However, an epistemological study of these novel tools is still largely lacking. After a conceptual analysis of the notion of data and a brief introduction into the methodological dichotomy between inductivism and hypothetico-deductivism, several controversial theses regarding big data approaches are discussed. These include, whether correlation replaces causation, whether the end of theory is in sight and whether big data approaches constitute entirely novel scientific methodology. In this Element, I defend an inductivist view of big data research and argue that the type of induction employed by the most successful big data algorithms is variational induction in the tradition of Mill' s methods. Based on this insight, the before-mentioned epistemological issues can be systematically addressed.

Big Data
Philosophy of Probability and Statistical Modelling
Relativism in the Philosophy of Science
Unity of Science

Status: Active
ISBN-13: 9781108706698
Published: 18 Feb 2021
Published In: United Kingdom
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Format: Paperback
Height: 229mm
Width: 152mm
Spine: 5mm
Weight: 128g
Pages: 75

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