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shared by Coonoor Behal on 16 Apr 13 - No Cached

The theory of big data is to have no theory, at least about human nature. You just gather huge amounts of information, observe the patterns and estimate probabilities about how people will act in the future.
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Thus, the passing of time can produce gigantic and unpredictable changes in taste and behavior, changes that are poorly anticipated by looking at patterns of data on what just happened.
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If you are relying just on data, you will have a tendency to trust preferences and anticipate a continuation of what is happening right now.
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One of my take-aways is that big data is really good at telling you what to pay attention to. It can tell you what sort of student is likely to fall behind. But then to actually intervene to help that student, you have to get back in the world of causality, back into the world of responsibility, back in the world of advising someone to do x because it will cause y.
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