Looking for a specific video on Bayesian Modeling with few datapoints


I am looking for a video that I watched on youtube the other day by some guy that presented how to perform Baysian modeling with few datapoints using PyMC3.
If I remember correctly, that guy was using brewing beer as an example and the video was rather short.
PyMC3 then showed what brewing ingredients (data points) to add next to the dataset.

Can anybody give me a hint and maybe give me a link to the video?




Have you check https://www.youtube.com/playlist?list=PL1Ma_1DBbE82OVW8Fz_6Ts1oOeyOAiovy ?


Thanks, @junpenglao. That isn’t the video I’ve been looking for but it looks interesting, too!