Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
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11 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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