Super Crunchers. How Anything Can Be Predicted

Par : Ian Ayres
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  • Nombre de pages260
  • FormatePub
  • ISBN978-0-7195-2103-4
  • EAN9780719521034
  • Date de parution30/04/2008
  • Protection num.Adobe DRM
  • Infos supplémentairesepub
  • ÉditeurJohn Murray

Résumé

Companies used to rely on human experts and their years of experience to guide them. Now, cutting-edge organizations are mining the data and crunching numbers instead, to come up with more accurate, less biased predictions. As Freakonomics detailed, statistical analysis can reveal the secret levers of causation. But economist Ian Ayres argues that that's only part of the story - super crunching is revolutionizing the way we all make decisions.
Beginning with examples of the mathematician who out-predicted wine buffs in determining the best vintages, and the sports scouts who now use statistics rather than intuition to pick winners, Super Crunchers exposes the world of data-miners, introducing the people and the techniques. It illuminates the hidden patterns all around us. No businessperson, academic, student, or consumer (statistically that's everyone) should make another move without getting to grips with thinking-by-numbers - the new way to be smart, savvy and statistically superior.
Companies used to rely on human experts and their years of experience to guide them. Now, cutting-edge organizations are mining the data and crunching numbers instead, to come up with more accurate, less biased predictions. As Freakonomics detailed, statistical analysis can reveal the secret levers of causation. But economist Ian Ayres argues that that's only part of the story - super crunching is revolutionizing the way we all make decisions.
Beginning with examples of the mathematician who out-predicted wine buffs in determining the best vintages, and the sports scouts who now use statistics rather than intuition to pick winners, Super Crunchers exposes the world of data-miners, introducing the people and the techniques. It illuminates the hidden patterns all around us. No businessperson, academic, student, or consumer (statistically that's everyone) should make another move without getting to grips with thinking-by-numbers - the new way to be smart, savvy and statistically superior.