Kernel methods refer to a class of algorithms for pattern recognition where data points in the native representation space are mapped to higher dimensions using a 'kernel function' without actually computing the coordinates in the higher dimensions.
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Pattern Classification overview

Regression Overview:

See * Intro to Regression

Kernel methods topics

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