Big data / Wolfgang Pietsch

By:

Pietsch, Wolfgang

Language: English Publication details: Cambrdige c2021 Cambridge, United KingdomEdition: 1st edDescription: 77 p. 23 cmISBN:

9781108706698

Subject(s):

Big data; Induction Logic; Novel Scientific Methodology

DDC classification:

005.74 PIE

Summary: 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.

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Holdings
Item type	Current library	Call number	Status	Barcode
Reference	Anna Centenary Library 3RD FLOOR, A WING	005.74 PIE (Browse shelf(Opens below))	Not for loan	674646

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.

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Big data / Wolfgang Pietsch

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