| 000 | 00992nam a2200193Ia 4500 | ||
|---|---|---|---|
| 005 | 20250316175212.0 | ||
| 008 | 240821s9999 xx 000 0 und d | ||
| 020 |
_a9781108706698 _qpbk |
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| 041 | _aeng | ||
| 082 |
_a005.74 _bPIE |
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| 100 | _aPietsch, Wolfgang | ||
| 245 | 0 |
_aBig data _c/ Wolfgang Pietsch |
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| 250 | _a1st ed. | ||
| 260 |
_bCambrdige _cc2021 _aCambridge, United Kingdom |
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| 300 |
_a77 p. _c23 cm. |
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| 520 | _aBig 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. | ||
| 650 | _aBig data; Induction Logic; Novel Scientific Methodology | ||
| 942 | _cENGLISH | ||
| 999 |
_c524419 _d524419 |
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