PyCon X


2nd - 5th May 2019

Applied Bayesian Inference with PyMC

The talk is an intro to Bayesian Inference from the point of view of a software developer rather than from the one of a mathematician. If we read a textbook about Bayesian Inference, we need to go through tow-three chapters about probability theory. This can be hard and pointless for who is just seeking a few practical examples or a few use cases. The talk is suitable for those that are not interested in the math behind such methods but want to apply them. When is Bayesian Inference useful? What’s its advantage? How can I implement it? The talk shows few use cases where Bayesian Inference is a killer feature through PyMC library.


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    Were slides made available somewhere for this talk?
    — Luigi Ponti,

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