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Machine Learning Glossary: Difference between revisions
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* Underfitting - when a model performs poorly on both training and validation data, usually due to inadequate model complexity or training duration. | * Underfitting - when a model performs poorly on both training and validation data, usually due to inadequate model complexity or training duration. | ||
=Other Resources= | |||
* [https://developers.google.com/machine-learning/glossary Google Machine Learning Glossary] | |||