Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why Alphabet’s Clean Energy Moonshot Depends On AI
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Predictive AI Only Works If Stakeholders Tune This Dial
 Originally published in Forbes I’ll break it to you gently:...
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
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6 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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