📚 node [[one hot_encoding]]
📓
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.
📖 stoas
- public document at doc.anagora.org/one-hot_encoding
- video call at meet.jit.si/one-hot_encoding
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