kernels

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Learn how Kernel Density Estimation works and how you can adjust it to better handle bounded data, like age, height, or price

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Intuitive derivation of the KDE formula

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The basics of kernel methods and Radial Basis Functions

A reference manual for creating covariance functions.

Ryan Marcus, assistant professor at the University of Pennsylvania. Using machine learning to build the next generation of data systems.