I was reviewing my previous work - a website called Econometrics Navigator that provides some links to open source textbooks and blogs and felt I wanted to put together a list of topics in econometrics, machine learning and deep learning in a perspective. Can think of it as a review checklist or perhaps a (self) study guide. So far nothing beyond the titles, but will appreciate the comment on structure, additions or changes.
