Machine Learning Times
Machine Learning Times
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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,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
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5 years ago
Predictive Analytics: A Review Essay

 Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Revised and Updated. Eric Siegel. (Wiley: Hoboken NJ. 2013, 2016) In 2013, as the worst effects of the crash had begun to reverberate out of the system, analysts like myself, and of dozens of other stripes—statisticians, biostatisticians, econometricians, financial quants, psycho-sociological researchers, etc., etc. (not in any order)—were exposed to the first wave of evangelism for Big Data, and what it meant.  Characterized by ready enthusiasm, it radiated a minimum of science and a maximum of advertising-as-pseudo-science. We all know what Big Data is now.

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