Truth or Truthiness
Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper every day, often with no justification other than 'it feels right'. How can we figure out what is right? Escaping from the clutches of truthiness begins with one simple question: 'what is the evidence?' With his usual verve and flair, Howard Wainer shows how the sceptical mindset of a data scientist can expose truthiness, nonsense, and outright deception. Using the tools of causal inference he evaluates the evidence, or lack thereof, suppo…
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Produktdetails
- ISBN: 978-1-316-49075-4
- EAN: 9781316490754
- Produktnummer: 19567602
- Verlag: Cambridge University Press
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 0 S.
- Plattform: PDF
- Masse: 16'200 KB
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Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Graphic Discovery
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Picturing the Uncertain World
Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Computerized Adaptive Testing
Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Computerized Adaptive Testing
Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Test Validity
Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
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