Bayesian Modeling and Probabilistic Programming - Rob Zinkov
We talked about:
00:00 DataTalks.Club intro
02:46 Rob’s background
06:40 Going from software engineering to Bayesian modeling
14:43 Frequentist vs Bayesian modeling approach
24:29 About integrals
28:35 Probabilistic programming and samplers
33:43 MCMC and Hakaru
39:28 Language vs library
50:29 Encoding dependencies and relationships into a model
55:24 Stan, HMC (Hamiltonian Monte Carlo) , and NUTS
59:46 Sources for learning about Bayesian modeling
1:05:32 Reaching out to Rob
Links:
Book 1: https://bayesiancomputationbook.com/w...
Book/Course: https://xcelab.net/rm/statistical-ret...
Free ML Engineering course: http://mlzoomcamp.com
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