Adam Fleischhacker @preposterior@qoto.org
People and data compelling action. Author of "Intro to Bayesian Business Analytics in the R Eco-system" (see https:://causact.com) and "Persuasive Python: Unifying Narrative, Math, and Code" (forthcoming).
Know anyone who wants to teach #rstats and #Bayesian statistics out of a business school? Please make them aware of the second edition of my textbook. Students love it and it is a great entry point into data science. https://www.causact.com/
For better or worse, I self-illustrate my textbooks despite having zero artistic ability. On my latest edition (coming out next week), I used NightCafe AI image generation to get all artsy with my book cover. I hope you like the AI art... here is a pre- and post-ai book cover comparison.
Bayesian Additive Regression Trees (BART) seem like a robust way to do causal inference; easily-queried black boxes with built-in uncertainty quantification of causal effects. Anyone using BART in practice?
I have this notion that the power of data science comes from unifying narrative, math, and code. (narrative is a proxy for real-world issues and phenomena). Expertise in just two of the three is very limiting. Been working on a #Python book to explore this more thoroughly. If you want to take a peek, here is the link:
https://www.persuasivepython.com/
Let me know what you think. Three new chapters will be released on Thursday.
People and data compelling action. Author of "Intro to Bayesian Business Analytics in the R Eco-system" (see https:://causact.com) and "Persuasive Python: Unifying Narrative, Math, and Code" (forthcoming).
