📚 node [[one hot_encoding|one hot encoding]]
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📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/One-Hot_Encoding.md by @KGBicheno

one-hot encoding

Go back to the [[AI Glossary]]

A sparse vector in which:

  • One element is set to 1.
  • All other elements are set to 0.

One-hot encoding is commonly used to represent strings or identifiers that have a finite set of possible values. For example, suppose a given botany dataset chronicles 15,000 different species, each denoted with a unique string identifier. As part of feature engineering, you'll probably encode those string identifiers as one-hot vectors in which the vector has a size of 15,000.
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