We talked about:

Rob’s background
Going from software engineering to Bayesian modeling
Frequentist vs Bayesian modeling approach
About integrals
Probabilistic programming and samplers
MCMC and Hakaru
Language vs library
Encoding dependencies and relationships into a model
Stan, HMC (Hamiltonian Monte Carlo) , and NUTS
Sources for learning about Bayesian modeling
Reaching out to Rob

Links:

Book 1: https://bayesiancomputationbook.com/welcome.html
Book/Course: https://xcelab.net/rm/statistical-rethinking/

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

Bayesian Modeling and Probabilistic Programming - Rob Zinkov