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The 9 pitfalls of data science /

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Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pi...

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Bibliographic Details
Main Author: Smith, Gary, 1945- (Author)
Other Authors: Cordes, Jay
Format: Book
Language:English
Published: Oxford ; New York : Oxford University Press, 2019.
Edition:First edition.
Subjects:
Big data.
Quantitative research.
Errors.
Table of Contents:
  • Using bad data
  • Putting data before theory
  • Worshiping math
  • Worshiping computers
  • Torturing data
  • Fooling yourself
  • Confusing correlation with causation
  • Being surprised by regression toward the mean
  • Doing harm
  • Case study : the Great Recession.