Visual Revelations: Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist
Data science is a relatively recent term coined by Peter Naur, a Danish pioneer in computer science and Turing award winner, and expanded on by statisticians Jeff Wu (in 1997) and Bill Cleveland (in 2001). They characterized data science as an extension of the science of statistics to include multid...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wainer, Howard [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © Copyright Taylor & Francis |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Chance - Abingdon : Taylor & Francis, 1988, 29(2016), 1, Seite 61 |
|---|---|
| Übergeordnetes Werk: |
volume:29 ; year:2016 ; number:1 ; pages:61 |
| Links: |
|---|
| DOI / URN: |
10.1080/09332480.2016.1156371 |
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510 004 DNB Visual Revelations: Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist Skepticism United States--US Statistics Data analysis Statistical methods Information science |
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Visual Revelations: Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist |
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Visual Revelations: Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist |
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visual revelations: defeating deception: escaping the shackles of truthiness by learning to think like a data scientist |
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Visual Revelations: Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist |
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Data science is a relatively recent term coined by Peter Naur, a Danish pioneer in computer science and Turing award winner, and expanded on by statisticians Jeff Wu (in 1997) and Bill Cleveland (in 2001). They characterized data science as an extension of the science of statistics to include multidisciplinary investigations, models and methods for data, computing with data, pedagogy, tool evaluation, and theory. Truthiness, although a new word, is a very old concept that has long predated science. It is so well-inculcated in the human psyche that trying to banish it is surely a task of insuperable difficulty. The lesson to be learned is that skepticism is important, but they must keep their minds open to the possibilities of modern data science. The more they know about it, the better they can design gedanken experiments that could yield the evidence that would support the claims made. If they cannot imagine one that could work, or if whatever they imagine is unlikely to be practical, they should keep their skepticism, but ask for an explanation from the person making the claim. |
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Data science is a relatively recent term coined by Peter Naur, a Danish pioneer in computer science and Turing award winner, and expanded on by statisticians Jeff Wu (in 1997) and Bill Cleveland (in 2001). They characterized data science as an extension of the science of statistics to include multidisciplinary investigations, models and methods for data, computing with data, pedagogy, tool evaluation, and theory. Truthiness, although a new word, is a very old concept that has long predated science. It is so well-inculcated in the human psyche that trying to banish it is surely a task of insuperable difficulty. The lesson to be learned is that skepticism is important, but they must keep their minds open to the possibilities of modern data science. The more they know about it, the better they can design gedanken experiments that could yield the evidence that would support the claims made. If they cannot imagine one that could work, or if whatever they imagine is unlikely to be practical, they should keep their skepticism, but ask for an explanation from the person making the claim. |
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Data science is a relatively recent term coined by Peter Naur, a Danish pioneer in computer science and Turing award winner, and expanded on by statisticians Jeff Wu (in 1997) and Bill Cleveland (in 2001). They characterized data science as an extension of the science of statistics to include multidisciplinary investigations, models and methods for data, computing with data, pedagogy, tool evaluation, and theory. Truthiness, although a new word, is a very old concept that has long predated science. It is so well-inculcated in the human psyche that trying to banish it is surely a task of insuperable difficulty. The lesson to be learned is that skepticism is important, but they must keep their minds open to the possibilities of modern data science. The more they know about it, the better they can design gedanken experiments that could yield the evidence that would support the claims made. If they cannot imagine one that could work, or if whatever they imagine is unlikely to be practical, they should keep their skepticism, but ask for an explanation from the person making the claim. |
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Visual Revelations: Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist |
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