Feature extraction: Revision history

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20 March 2023

  • curprev 01:1701:17, 20 March 2023‎ Walle talk contribs‎ 4,255 bytes +4,255‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Feature extraction is a crucial step in the field of machine learning and pattern recognition that involves extracting relevant and informative attributes from raw data. These attributes, also known as features or variables, are then used by machine learning algorithms to classify or predict outcomes. The process of feature extraction is essential in simplifying and enhancing the performance of models by reduci..."
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