For people who actually use fancy models, where do you work?

I’ve been doing this for 15 years and always end up using something simple like stats, linear regression, or random forest 99% of the time because these models run fastest in prod.

I keep hearing people on this sub talking about Markov Chains, Bayesian Inference, and XGBoost. What is the value add of these methods?

bayesian bayesian inference datascience hearing inference linear linear regression markov people prod random regression stats work xgboost