Thomas Wiecki

Bayesian statistical methods provide powerful tools for solving various data science problems. The Bayesian approach yields easy-to-interpret results and automatically accounts for uncertainty in our estimates or predictions.

Every business is unique, as are its data and problems. In order to make the most of our valuable data, we need to incorporate these intricacies when building a solution. Bayesian modeling provides a powerful framework for building a so-called digital twin that maps our real-world problem and...

In this talk I will present two new open-source packages that make up a powerful and state-of-the-art marketing analytics toolbox. Specifically, PyMC-Marketing is a new library built on top of the popular Bayesian modeling library PyMC.

Among Bayesian early adopters, digital marketing is chief. While many industries are embracing Bayesian modeling as a tool to solve some of the most advanced data science problems, marketing is facing unique challenges for which this approach provides elegant solutions.