There are lots of articles out there about the fun, sexy parts of machine learning: neural networks, AI, online learning, billions of parameters.
This is not that site. This site is one that I always wanted to see: the internal, boring, day-to-day work that machine learning entails. It’s a collection of technical notes I’ve made over the years of things that have been useful to me personally and that I continue to learn on a day-to-day basis, and in many ways is the resource I wish I’d had when I started getting into machine learning.
It and its layout are also constantly evolving as I map different concepts together, make changes and edits, so don’t be surprised if content moves around.
If you have comments or corrections, feel free to submit a PR.
To work with the site locally:
- Fork the repo
- cd into boringml
hugo --minify --theme hugo-book- Inspect the site in the browser.