This may become a useless brain dump, but the initial goal is to capture useful references for Artifical Intelligence (AI), Machine Learning (ML) and Data Science (DS). I’ll probably also touch on DevOps and ‘all the other stuff’ around AI ML DS including [Python], Unix, [Git] and career advice. My goal is to start building up from my Leuven slides and other updated references. I will list links to useful pages and articles on note-taking and tools in [Notes].
Warning: do not browse directly from the github repo as the links won’t work. Use the github pages site https://smyth7.github.io/smythfoam/ instead. If a link doesn’t appear yet, I’ve probably not added the page or it’s not ready for consumption (even if it’s in the repo already).
👋 This is built from [foam] and I’ve left the initial docs here.
https://foambubble.github.io/foam/
A central node for all topics. Most topics follow the simple [template_page]