We’re frequently asked how to gain practical expertise in Bayesian modeling and where it fits into today’s analytical workflows.
Applied Bayesian modeling is a statistical approach that uses Bayes’ theorem to update beliefs about parameters based on observed data and prior knowledge. It’s widely used in various fields like social and health sciences, and it emphasizes the interpretation of real data sets and practical applications
To meet that need, we’ve developed the PyMC Labs – Applied Bayesian Modeling Workshop.
Designed for engineers, analysts, and scientists, this course emphasizes practical use over academic formality, helping you unlock the power of Bayesian methods in your work.
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