Jay Taylor's notes

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Tags: python machine-learning monte-carlo-simulation pymc bayesian markov-chain www.pymc.io
Clipped on: 2023-05-11

Vladislavs Dovgalecs: It is about quantifying uncertainties. You build a generative story how your data might’ve been created as a process, you set some reasonable priors, attach your data -> get posterior on quantities you are interested in.

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