This is an introduction to probabilistic programming for people from across the broad spectrum of backgrounds at the workshop, so it starts with the absolute basics. In particular, I find that most introductions to PPL are written for and by machine-learning and statistics experts. (Here's an exception from Michael Hicks at the Programming Languages Enthusiast blog.) I'm a programming-languages person, so these notes start from the opposite perspective.
From the github repo;
This is an introduction to probabilistic programming for people from across the broad spectrum of backgrounds at the workshop, so it starts with the absolute basics. In particular, I find that most introductions to PPL are written for and by machine-learning and statistics experts. (Here's an exception from Michael Hicks at the Programming Languages Enthusiast blog.) I'm a programming-languages person, so these notes start from the opposite perspective.
The mentioned "exception" by Michael Hicks: What is Probabilistic Programming? - http://www.pl-enthusiast.net/2014/09/08/probabilistic-progra...