Clusterfck A Practical Guide to Bayesian Hierarchical Modeling in Py MC3, , Hanna van der Vlis

At Apollo Agriculture, a Kenya based agrotech startup, one of the challenging problems we face is to predict yields of Kenyan maize farmers. Like almost all datasets, this dataset has a hierarchical structure: farmers within the same region arent independent. By ignoring this fact, a model could predict yields entirely from the region of the farmer, but fails to find any other meaningful insights, and we may not even realize. However, if we overcorrected, treating each region as completely separate, each individual analysis could be underpowered. Enter the hero of our story: Bayesian hierarchical modeling. Using a practical example in Pymc3, well follow this hero as they identify and overcome clustered datasets. Slides: PUBLICATION PERMISSIONS: PyData provided Coding Tech with the permission to republish PyData talks. CREDITS: PyData YouTube channel: