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Data Science Skepticism

Tuesday, January 3, 2012

In a terrific article "Top Holiday Gifts For Data Scientists," Cloudera co-founder and chief scientist Jeff Hammerbacher recommends a multitude of books, websites and software tools for the budding data scientist. Among his choices are the texts "Statistics as Principled Argument" and "Bias and Causation," both of which encourage healthy skepticism in interpreting relationships from observational or non-experimental investigations. The latter details a “taxonomy of bias and its potential sources. It is a must read and constant reference for those designing survey studies and a reminder of cautions for those who must contend with study results and conclusions.”

Find out more about the mentality a data scientist needs here. Sourced by Information Management

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