Data Talks Club: Machine Learning in Marketing

On Friday 13th of May 2022 I was invited to join Alexey Grigorev in an event organised by DataTalks.Club to talk about Machine Learning in Marketing. It was a really insightful discussion and i would like to thanks the organizers who make it possible. Here is the recording:

Here are some useful links and resources about the subject:

• Relevant blog post I have written about the subject:

  • Media Effect Estimation with Orbit’s KTR Model
  • Media Effect Estimation with PyMC: Adstock, Saturation & Diminishing Returns
  • PyConDE & PyData Berlin 2022: Introduction to Uplift Modeling
  • BG/NBD Model in PyMC
  • Gamma-Gamma Model of Monetary Value in PyMC

• Books and references to learn more about marketing data science

  • Introduction to Algorithmic Marketing. I particular check out the corresponding repository.
  • Gerben Oostra: Preventing churn like a bandit | PyData Eindhoven 2019

• Some introductory material to bayesian statistics:

  • Statistical Rethinking by Richard McElreath
  • PyMC Examples Documentation