📚 node [[feature_engineering|feature engineering]]
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📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Feature_Engineering.md by @KGBicheno

feature engineering

Go back to the [[AI Glossary]]

The process of determining which features might be useful in training a model, and then converting raw data from log files and other sources into said features. In TensorFlow, feature engineering often means converting raw log file entries to tf.Example protocol buffers. See also tf.Transform.

Feature engineering is sometimes called feature extraction.
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