Théorie du cygne noir
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Black Swan Paradox The black swan paradox represents the event of something unexpected happening. In machine learning, this highlights the key difference between a frequentist and a Bayesian. More explicitly, it emphasizes the fact that a frequentist does not consider the prior in their probability computations whereas a Bayesian does.
Contributeurs: Claire Gorjux, Isaline Hodecent, wiki