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Leveraging the advantages of Bayesian Methods to build a data science product using PyMC3

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Speaker: Korbinian Kuusisto

Track:PyData Bayesian models offer greater theoretical advantages compared to non-probabilistic methods, and also allow for more flexible model design. But how can one leverage these theoretical advantages to build a successful data science product?

Recorded at the PyConDE & PyData Berlin 2019 conference. https://pycon.de

More details at the conference page: https://de.pycon.org/program/WZWTVB Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde

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