Big Data by Wolfgang Pietsch
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.-
Science, Pseudoscience, and the Demarcation Problem
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Philosophy of Psychiatry
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Analogical Reasoning in Science
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Climate Science
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The Social Dimensions of Scientific Knowledge
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Objectivity in Science
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Logical Empiricism as Scientific Philosophy
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Unity of Science
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Science Denial
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Scientific Realism
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The Philosophy of Linguistics
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Underdetermination and Theoretical Virtues
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Scientific Representation
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Modelling Scientific Communities
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Science and the Public
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Philosophy of Probability and Statistical Modelling
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Feminist Philosophy of Science
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Relativism in the Philosophy of Science
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Values in Science
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Abductive Reasoning in Science
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Scientific Models and Decision Making
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Duhem and Holism
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Scientific Knowledge and the Deep Past
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Scientific Progress
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Fundamentality and Grounding
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Bayesianism and Scientific Reasoning
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Natural Kinds
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Causation
| SKU | Unavailable |
| ISBN 13 | 9781108706698 |
| ISBN 10 | 110870669X |
| Title | Big Data |
| Author | Wolfgang Pietsch |
| Series | Elements In The Philosophy Of Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Cambridge University Press |
| Year published | 2021-02-18 |
| Number of pages | 75 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |