Good talk. When you compare the histograms of posterior samples, you have them lined up vertically. It would be really useful to do `sharex=True`, then the viewer could visually compare the posteriors.
Hello Eric, Can you do Bayesian Statistical Analysis in Python course for Datacamp along these lines? I enjoyed your Network Analysis course I and am looking forward to do recently released follow up course.
For some reason pm.traceplot(coin_trace) doesn't execute in my notebook. It gets stuck and don't show graphs. Did anyone has this problem and how to fix it?
One of the most pragmatic presentations on Bayesian Inference I've seen so far on UA-cam! Congrats and thank you! :)
Excellent presentation!
This was a fantastic talk! The level of 'expertise' it was aimed for was great! Thank you.
great presentation! very clear examples, really helps to learn pymc3.
Great talk, I learn quite a lot from that. Thank you!
Good talk. When you compare the histograms of posterior samples, you have them lined up vertically. It would be really useful to do `sharex=True`, then the viewer could visually compare the posteriors.
Hello Eric, Can you do Bayesian Statistical Analysis in Python course for Datacamp along these lines? I enjoyed your Network Analysis course I and am looking forward to do recently released follow up course.
Bharat, do you have a link to the network analysis course ?
@@juliocardenas4485 Sorry Julio, I don't have the DataCamp membership any more
Bro is funny😂😂. Keept me engaged for sure👍💯
Beautiful
But how was practical equivalence set?
For some reason pm.traceplot(coin_trace) doesn't execute in my notebook. It gets stuck and don't show graphs. Did anyone has this problem and how to fix it?