Absolutely fantastic. I agree with the other comments. I am so happy that I found this. Very succinctly explains many of the concepts rolling around in my head learning this!
Thanks for sharing the notebook. It is helpful for me to learn pymc. I had a challenge at the group covariate model. When the position covariate is added, I don't understand why the mean of the m_mu is used minus 2. It doesn't seem to explain in the video or notebook. Can someone shed some lights for me?
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Absolutely fantastic. I agree with the other comments. I am so happy that I found this. Very succinctly explains many of the concepts rolling around in my head learning this!
So glad that I found this, what an outstanding presentation and Q/A!
Outstanding presentation! I learned a lot. Thank you.
Great to hear Jonathan. I also thought it was one of the best PyMC presentations I ever saw!
Terrific presentation! Thanks a lot!
Awesome!! I’ve been trying to develop a hierarchical model for pitcher location simulation in PyMC but I’m having some trouble. This should be helpful
Thanks for sharing the notebook. It is helpful for me to learn pymc. I had a challenge at the group covariate model. When the position covariate is added, I don't understand why the mean of the m_mu is used minus 2. It doesn't seem to explain in the video or notebook. Can someone shed some lights for me?
Some really good questions here towards the end
Agreed, really great discussion. Chris is a treasure trove of knowledge.
Thomas is extremely stoic
Is there gonna be a notebook available with the code from the example?
Yes, Chris just needs to tidy it up a bit and we'll post it on the meetup page and our social media.
Any updates on the notebook?
@@ichidyakin Yes, you can check our blog post which now contains a link. Thanks for checking!