I just recently got interesting in this topic and have been trying to organize my learnings on Github:<p><a href="https://github.com/melling/Probabilistic_Programming" rel="nofollow">https://github.com/melling/Probabilistic_Programming</a><p>Currently trying to learn RStan (and R)<p>Found interesting examples for the Kaggle Titanic competition:<p><a href="https://wiekvoet.blogspot.com/2015/09/predicting-titanic-deaths-on-kaggle-vi.html" rel="nofollow">https://wiekvoet.blogspot.com/2015/09/predicting-titanic-dea...</a><p><a href="https://www.r-bloggers.com/2015/10/predicting-titanic-deaths-on-kaggle-vii-more-stan/" rel="nofollow">https://www.r-bloggers.com/2015/10/predicting-titanic-deaths...</a><p>Putting examples here:<p><a href="https://github.com/melling/Probabilistic_Programming/tree/main/rstan/titanic_kaggle" rel="nofollow">https://github.com/melling/Probabilistic_Programming/tree/ma...</a><p>Anyway, if anyone else has stumbled upon any other blogs, books, etc, I could use other good resources.
At a first glance, this book seems to be quite far from the topics in this Wikipedia page, but I might be wrong.<p><a href="https://en.wikipedia.org/wiki/Probabilistic_programming" rel="nofollow">https://en.wikipedia.org/wiki/Probabilistic_programming</a>