I am staggered by the expertise shared openly.
Each day, my inbox delivers treasures that are growing in scale.
Today, thanks to Mara Averick (link), I discovered Danielle Navarro’s personal essay on Bayes factors (link).
Danielle’s post has given me a holiday reading list that will help me redefine my naive Bayes views and thinking.
As I was contemplating the references her post unlocked, I came across these images that I have taken to be the innocent climb of continuing learning and the joy of finding new inclines (aka steep learning curves):
(Source of this idea was from R-Ladies Sydney (link) via Real Python (link))
