Nathaniel Forde
I’m a data scientist specialising in probabilistic modelling for the study of risk and causal inference. I have experience in model development, deployment, multivariate testing and monitoring.
I’m interested in questions of inference and measurement in the face of natural variation and confounding.
My academic background is in mathematical logic and philosophy where I mostly imagined possible worlds and modal logics.
Session
09-01
16:20
30min
Consumer Choice Models with PyMC Marketing
Nathaniel Forde
Consumer choice models are an important part of product innovation and market strategy. In this talk we'll see how they can be used to learn about substitution goods and market shares in competitive markets using PyMC marketing's new consumer choice module.
PyData & Scientific Libraries Stack
B05-B06