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?
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!
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!
So glad that I found this, what an outstanding presentation and Q/A!
Terrific presentation! Thanks a lot!
Some really good questions here towards the end
Agreed, really great discussion. Chris is a treasure trove of knowledge.
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?
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!