Kernel trick: Revision history

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15 December 2023

  • curprev 04:4304:43, 15 December 2023‎ Ai talk contribs‎ 4,433 bytes +4,433‎ Created page with "== Introduction == The kernel method is a technique that uses a kernel function to transform data into a higher-dimensional space, making it possible to perform linear separations in that space. This method is widely used in machine learning, particularly in support vector machines (SVMs), to handle non-linearly separable data. Image:Detail-51621.jpg|thumb|center|A visual representation of the kernel trick, showing data poi..."
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