Machine Learning Times
Machine Learning Times
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Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
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9 years ago
Using Statistics and Visualization as Complementary Validation

 I don’t often find myself thinking or saying common maxims (e.g. Better to be safe than sorry). But there is an uncommon maxim I learned from Jeffrey Luftig, who taught one of my favorite statistics courses. He had a number of colorful sayings but the one that has stuck with me in my professional life is Never show a statistic without a picture; never show a picture without a statistic. I think about this often while validating analytical work. Anscombe’s quartet has become a well-known example of where statistics alone can be misleading. All four data sets below

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