Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
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...
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13 years ago
What do we see in Predictive Models?

  Predictive Analytics is one of the hottest careers on the tech scene these days and with good reason: data is being collected in ever greater amounts, and this data, it turns out, is useful for improving decisions and efficiencies of organizations. No surprises here for this audience. My last article for the PA Times argued that we don’t need to know details of the mathematics in order to be good predictive modelers. However, we predictive modelers must become better at understanding how the models are going to be used and what the predictions mean for the business;

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