Hey there fellow makers and tech enthusiasts. I'm happy to share MLpedia with you today. The main goal with the site is to provide a quick reference for machine learning concepts, which goes straight to the point, without trying to be as comprehensive as possible about a given topic, and without the distraction of native ads and needless text found in many blog posts. This is very much a launch version (one could perhaps call it MVP), and so of course only a subset of all ML concepts are there. But it already contains a good amount of basic topics in ML that cover the essentials, specially on neural networks, as well as some more recent terms related to generative AI, so the reader can keep up with the new ML buzzwords flying around the news ("prompt engineering" , "RLHF", and so on). The site is constantly updated, with new content added almost daily. There are many options to stay up to date, and thus use MLpedia as a resource to keep abreast of what's new, as well as to review "classic" concepts as they are added. For open-web fans, there are RSS feeds. For social media fans, there are Mastodon and Twitter links. And for newsletter fans, a weekly newsletter. I do hope you find it useful. Cheers, Marcelo.

MLpedia

To-the-point machine learning concepts and articles.

To-the-point machine learning concepts and articles.