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jaihindhreddy 2019-09-09T21:12:46.003600Z
I wanted to learn how MCMC methods work. Does LAFP have something in that area?
2019-09-09T21:40:17.005600Z
Unfortenatly, no. Although LA is a kind of prerequisite for anything related to ML and vectorized computations, MCMC is out of scope of LAFP.
jaihindhreddy 2019-09-09T21:51:44.005700Z
Joined the Patreon nevertheless...
jaihindhreddy 2019-09-09T21:52:25.006600Z
Prerequisite is good enough reason for me to show my 2 cents of support for the awesome libraries and content 🙂
2019-09-09T21:57:00.006800Z
Thank you!
2019-09-09T21:58:16.007900Z
On the bright side, i do plan a Bayesian data analysis book. It just has to wait for the completion of the first edition of DLFP and LAFP.
1💯2🆒jaihindhreddy 2019-09-09T21:59:17.008300Z
Do you recommend any resources in the meanwhile?
2019-09-09T22:00:54.010100Z
Yes! Doing Bayesian Data Analysis, 2nd Ed. Statistical Rethinking is also a good choice. Both in R unfortunately, but the prose is superb.
1✔️jaihindhreddy 2019-09-09T22:01:14.010400Z
Thanks a lot!
2019-09-09T22:02:38.011Z
BTW large part of DBDA is available in bayadera: https://github.com/blueberry/doing-bayesian-data-analysis-gpu-opencl
1💯jaihindhreddy 2019-09-09T22:03:26.011900Z
I was studying Bayadera's source, but kinda cryptic mostly because I don't understand the relevant maths yet.