Latest / The Effective Data Scientist

Bayesian inference and probabilistic programming
Interview with Alex Andorra
Interviewing Alex Andorra about bayesian inference, probabilistic programming, and more was a pleasure.
Alex is a data scientist and modeler at the PyMC Labs consultancy. He's also an open-source enthusiast and core contributor to the python packages PyMC and ArviZ. Alex is also a contributor and instructor in the "Intuitive Bayes Introductory Course". This self-paced course is designed for data scientists and developers, where you'll learn Bayesian modeling with code, not math.
Alex also runs the amazing "Learning Bayesian Statistics" podcast!
If you love Python…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.