Machine Learning Times
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The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
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12 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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