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I just recently got interesting in this topic and have been trying to organize my learnings on Github: https://github.com/melling/Probabilistic_Programming htt

I just recently got interesting in this topic and have been trying to organize my learnings on Github: https://github.com/melling/Probabilistic_Programming https://github.com/melling/Probabilistic_Programming Currently trying to learn RStan (and R) Found interesting examples for the Kaggle Titanic competition: https://wiekvoet.blogspot.com/2015/09/predicting-titanic-deaths-on-kaggle-vi.html https://wiekvoet.blogspot.com/2015/09/predicting-titanic-dea... https://www.r-bloggers.com/2015/10/predicting-titanic-deaths-on-kaggle-vii-more-stan/ https://www.r-bloggers.com/2015/10/predicting-titanic-deaths... Putting examples here: https://github.com/melling/Probabilistic_Programming/tree/main/rstan/titanic_kaggle https://github.com/melling/Probabilistic_Programming/tree/ma... Anyway, if anyone else has stumbled upon any other blogs, books, etc, I could use other good resources.

hgoury 6y ago
I am currently going through Statistical Rethinking [0], by R. McElreath. So far it's been great, all the code example and practice problems help comprehension. I've also heard good things about Probabilistic Programming and Bayesian methods [1] by Cam Davidson Pilon. [0] https://xcelab.net/rm/ https://xcelab.net/rm/ [1] https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ https://camdavidsonpilon.github.io/Probabilistic-Programming...
- stevesimmons 6y ago
  Anyone wanting Python/PyMC3 versions of the Statistical Rethinking code should check out [2]. [2] https://github.com/pymc-devs/resources/tree/master/Rethinking https://github.com/pymc-devs/resources/tree/master/Rethinkin...
dryrunes 6y ago
I started [0], but I got sidetracked. If anyone else has used this let me know as well. [0] https://arxiv.org/abs/1809.10756 https://arxiv.org/abs/1809.10756
Karrot_Kream 6y ago
Gelman's (one of the authors behind Stan) Bayesian Data Analysis is considered to be one of the best resources on this subject, so I suggest giving that a read. It's not the easiest book to work through though.
- dtjohnnyb 6y ago
  Here's a course from another author behind Stan on YouTube, working through it myself so can't say how good it bad it is, I think it uses the book too. https://www.youtube.com/playlist?list=PLBqnAso5Dy7O0IVoVn2b-WtetXQk5CDk6 https://www.youtube.com/playlist?list=PLBqnAso5Dy7O0IVoVn2b-...

hgoury 6y ago

I am currently going through Statistical Rethinking [0], by R. McElreath. So far it's been great, all the code example and practice problems help comprehension. I've also heard good things about Probabilistic Programming and Bayesian methods [1] by Cam Davidson Pilon. [0] https://xcelab.net/rm/ https://xcelab.net/rm/ [1] https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ https://camdavidsonpilon.github.io/Probabilistic-Programming...

stevesimmons 6y ago
Anyone wanting Python/PyMC3 versions of the Statistical Rethinking code should check out [2]. [2] https://github.com/pymc-devs/resources/tree/master/Rethinking https://github.com/pymc-devs/resources/tree/master/Rethinkin...

dryrunes 6y ago

I started [0], but I got sidetracked. If anyone else has used this let me know as well. [0] https://arxiv.org/abs/1809.10756 https://arxiv.org/abs/1809.10756

Karrot_Kream 6y ago

Gelman's (one of the authors behind Stan) Bayesian Data Analysis is considered to be one of the best resources on this subject, so I suggest giving that a read. It's not the easiest book to work through though.

dtjohnnyb 6y ago
Here's a course from another author behind Stan on YouTube, working through it myself so can't say how good it bad it is, I think it uses the book too. https://www.youtube.com/playlist?list=PLBqnAso5Dy7O0IVoVn2b-WtetXQk5CDk6 https://www.youtube.com/playlist?list=PLBqnAso5Dy7O0IVoVn2b-...