Remember that Bayesian course you signed up for a while ago?
Well guess what:
It's finally happening and I couldn't be more excited. It took longer than I would have liked to get to this point, but I was busy building PyMC Labs (www.pymc-labs.io) – our awesome Bayesian consultancy.
There are quite a few developments which I wanted to update you on:
Alex:
Hey y'all! By day, I'm a Bayesian modeler at the PyMC Labs consultancy. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the awesome Python packages PyMC and ArviZ.
I'm the host and creator of the one and only podcast dedicated to Bayesian inference, “Learning Bayesian Statistics”, with over 11k monthly listeners. I interview practitioners of all fields about why and how they use Bayesian statistics, and help you apply these methods in your modeling workflow – so yeah, I'm very excited about this course!
An always-learning statistician, I love building models and studying elections and human behavior. I also love Nutella a bit too much, but I don't like talking about it – I prefer eating it.
Ravin:
Hi all. I'm an applied statistician that uses Bayesian concepts in industry. Some of the companies that I've worked for used Bayesian modeling and PyMC3 at, including innovative organizations like SpaceX and sweetgreen. Funnily enough I didn't learn Bayesian statistics in college or a PhD, I picked it up entirely during my time in industry. I'm thrilled to create this course for other folks who are looking to use Bayesian theory but don't want to go to grad school to get started.
So, thanks for bearing with us, we are chomping at the bit to get this out to you.
We also run a questionnaire. Please do not hesitate to respond to this email with any questions.
Best,
Thomas, Alex & Ravin
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