Information Entropy
A measure of uncertainty — highest when all outcomes are equally likely, lowest when one dominates.
A measure of uncertainty — highest when all outcomes are equally likely, lowest when one dominates.
a multi-class classification loss function
Converts a vector of numbers into probabilities that sum to 1.
Squeezes any number into a range between 0 and 1.
When production data diverges significantly from the training dataset
A multiplayer architecture where the server is the single source of truth for game state.
When the production data is significantly different from the training distribution.
Metrics are usually a proxy for what we really care about
Notes from Sönke Ahrens' guide to the Zettelkasten note-taking system.
Temporary captures of ideas to be processed into permanent notes.