For a ’Bayesian Probability 101″, I’m currently following Richard McElreath’s Statistical Rethinking course.
I still haven’t finished it (only on Chapter 4), but so far it’s all that I wanted it to be:
It has the lecture videos on YouTube.
A GitHub repo with code examples in R, Python, and Julia.
An accompanying book (Chapters 1 and 2 are provided for free by the author)
Provides some good theoretical background on models and hypothesis testing and also pairs that with programming exercises.
It’s funny cause this was recommended to me by an EA friend, so I assumed someone would have mentioned it here already. ;-)
For a ’Bayesian Probability 101″, I’m currently following Richard McElreath’s Statistical Rethinking course.
I still haven’t finished it (only on Chapter 4), but so far it’s all that I wanted it to be:
It has the lecture videos on YouTube.
A GitHub repo with code examples in R, Python, and Julia.
An accompanying book (Chapters 1 and 2 are provided for free by the author)
Provides some good theoretical background on models and hypothesis testing and also pairs that with programming exercises.
It’s funny cause this was recommended to me by an EA friend, so I assumed someone would have mentioned it here already. ;-)