Ep. 27 - Big Algo, Fat Tails, and Converging Priors
Today we dive into the current Bayesian flame war…
The Local Maximum with Max Sklar · Max Sklar
August 14, 201849m 55s
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Show Notes
Today we dive into the current Bayesian flame wars on Twitter. Do Bayesian priors converge? As Nassim Taleb (@nntaleb) points out, not necessarily until a fat tail or power law distribution. We'll talk about what that means, and the wonders worked by Bayes rule even under some seemingly preposterous priors.
Also - the military wants to do machine learning with less data. Is the era of big data over and giving way to the era of the big algorithm? The results of the Twitter Shadow Ban poll, QA bias, the Streisand effect and the Alex Jones banning
Get full access to The Local Maximum at localmaximum.substack.com/subscribe
Also - the military wants to do machine learning with less data. Is the era of big data over and giving way to the era of the big algorithm? The results of the Twitter Shadow Ban poll, QA bias, the Streisand effect and the Alex Jones banning
Get full access to The Local Maximum at localmaximum.substack.com/subscribe