What is a kernel in machine learning?

A kernel is a function that measures the similarity or distance between pairs of data points in a machine learning algorithm, such as in kernel methods or kernelized support vector machines. Kernels are often used in non-linear models to project the data into a higher-dimensional feature space where it is more separable. Common types of kernels include the linear kernel, polynomial kernel, and Gaussian kernel.