Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density Estimation, we build Kernel SVM step by step as a sum of local bells, weighted and selected by hinge loss, until only the essential data points remain.

The post The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel appeared first on Towards Data Science.

​Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density Estimation, we build Kernel SVM step by step as a sum of local bells, weighted and selected by hinge loss, until only the essential data points remain.
The post The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel appeared first on Towards Data Science.  Machine Learning, Algorithms, Artificial Intelligence, Data Science, Kernel Density Estimation, Support Vector Machine Towards Data ScienceRead More