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Entropy

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A measure of the unpredictability or randomness in a probability distribution.

Technical Definition

A measure of the unpredictability or randomness in a probability distribution.

How it works

In information theory, entropy quantifies the amount of uncertainty or randomness present in a set of data or a probability distribution. A system with high entropy is unpredictable, meaning each outcome is roughly equally likely. Low entropy indicates predictability, where some outcomes are much more probable than others.

Further Reading

  • Google ML Glossary