Ep. 27 - Big Algo, Fat Tails, and Converging Priors

Ep. 27 - Big Algo, Fat Tails, and Converging Priors

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Episode
28 of 330
Duration
49min
Language
English
Format
Category
Non-fiction

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

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