A cautionary tale about ML interpretations with food, practical solutions for dealing with big data in R, and the adventures of installing R on the new Apple Silicon hardware. Episode Links This week's curator: Tony Elhabr (@TonyElHabr (https://twitter.com/TonyElHabr) Why machine learning hates vegetables (a dialogue about Zillow) (https://emilyriederer.netlify.app/post/ml-vegetables/) Should I Move to a Database? (https://blog.rmhogervorst.nl/blog/2021/11/08/should-i-move-to-a-database/) Transitioning from x86 to arm64 on macOS - experiences of an R user (https://pat-s.me/transitioning-from-x86-to-arm64-on-macos-experiences-of-an-r-user/) Entire issue available at rweekly.org/2021-W46 (https://rweekly.org/2021-W46.html) Supplement Resources Building code movies with flipbookr (https://www.rstudio.com/blog/building-code-movies-with-flipbookr) A guide to modeling proportions with Bayesian beta and zero-inflated beta regression models (https://www.andrewheiss.com/blog/2021/11/08/beta-regression-guide/) by Andrew Heiss