Dimension reduction: Revision history

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19 March 2023

  • curprev 19:1619:16, 19 March 2023‎ Walle talk contribs‎ 3,866 bytes +3,866‎ Created page with "{{see also|Machine learning terms}} ==Dimension Reduction in Machine Learning== Dimension reduction, also known as dimensionality reduction, is a fundamental technique in the field of machine learning and data analysis. The primary goal of dimension reduction is to reduce the number of features or variables in a dataset while preserving its underlying structure and information. This process aids in improving computational efficiency, reducing the risk of overfitt..."
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