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⥅ related node [[scaling synthesis]]

⥅ related node [[scaling]]

⥅ related node [[downscaling]]

⥅ node [[scaling]] pulled by Agora

📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Scaling.md by @KGBicheno

scaling

Go back to the [[AI Glossary]]

A commonly used practice in feature engineering to tame a feature's range of values to match the range of other features in the dataset. For example, suppose that you want all floating-point features in the dataset to have a range of 0 to 1. Given a particular feature's range of 0 to 500, you could scale that feature by dividing each value by 500.

scaling

⥅ node [[scaling-synthesis]] pulled by Agora

📓 garden/flancian/scaling synthesis.md by @flancian

a [[project]].
- [[robert haisfield]] [[joel chan]] [[brendan langen]]
- #go https://scalingsynthesis.com/
- presented in [[tools for thought rocks]] [[2022-08-09]]

📖 stoas

public document at doc.anagora.org/scaling|scaling
video call at meet.jit.si/scaling|scaling

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