Added glossary term (#18839)
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@ -6,6 +6,7 @@ title: Glossary
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A quick one or two sentences describing common terms. See individual pages for
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more details.
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- **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.
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- **Machine Learning** - Intersection of statistics and computer science in
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order to teach computers to perform tasks without explicitly being programmed.
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- **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.
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