Big Data Has Arrived, but Big Insights Have Not

Among the misconceptions regarding Big Data, two important ones stand out: that correlations alone suffice and that Big Data means sampling bias is no longer an issue. First, Big Data mining advocates claim that correlations suffice and the quest for causal interpretation should be abandoned. The real danger is that you will be "fooled by association," as explained in Freakonomics.Read the full article

  • Big data: are we making a big mistake? - - 2 readers, 1 Tweets - Five years ago, a team of researchers from Google announced a remarkable achievement in one of the world’s top scientific journals, Nature. Without needing the results of a single medical check-up, they were nevertheless able to track the spread of