Hello Jarad, I have a sincere question, do these in depth concepts ever applicable to someone going to work as data analyst or data scientist in industry, or they are just for people interested in acedemia ???
In my opinion, in depth concepts such as exchangeability is overkill for a data analyst/scientist. But an understanding of probability theory, probability distributions, probability density/mass functions, etc. would be useful.
Thanks for this. I've been working through Andrew Gelman's book on my own and these lectures have helped illuminate some of the concepts for me.
Hello Jarad,
I have a sincere question, do these in depth concepts ever applicable to someone going to work as data analyst or data scientist in industry, or they are just for people interested in acedemia ???
In my opinion, in depth concepts such as exchangeability is overkill for a data analyst/scientist. But an understanding of probability theory, probability distributions, probability density/mass functions, etc. would be useful.
Thanks for responding ☺️
Dynamic borrowing of real world data into clinical trial. That being said verifying exchangeability might not always be easy..