From 13b745863c4f6c7449a9dac46eaedf3913fb66ee Mon Sep 17 00:00:00 2001 From: domilearns Date: Sat, 13 Oct 2018 13:15:56 -0400 Subject: [PATCH] Added glossary term (#18839) --- .../src/pages/guide/english/machine-learning/glossary/index.md | 1 + 1 file changed, 1 insertion(+) diff --git a/client/src/pages/guide/english/machine-learning/glossary/index.md b/client/src/pages/guide/english/machine-learning/glossary/index.md index 72b3b47a11..0bf6a47d02 100644 --- a/client/src/pages/guide/english/machine-learning/glossary/index.md +++ b/client/src/pages/guide/english/machine-learning/glossary/index.md @@ -6,6 +6,7 @@ title: Glossary A quick one or two sentences describing common terms. See individual pages for more details. +- **A/B testing** - A statistical way of comparing two (or more) techniques, typically an incumbent against a new rival. A/B testing aims to determine not only which technique performs better but also to understand whether the difference is statistically significant. A/B testing usually considers only two techniques using one measurement, but it can be applied to any finite number of techniques and measures. - **Machine Learning** - Intersection of statistics and computer science in order to teach computers to perform tasks without explicitly being programmed. - **Deep Learning** - An umbrella term for machine learning methods based on learning data representations as opposed to algorithms based on fulfilling a given task. It includes architectures such as deep neural networks, deep belief networks and recurrent neural networks.