👉 Kernels are a fundamental concept in computational mathematics, particularly in machine learning and signal processing. They are used to represent functions that map input data into a smaller set of features, which can be useful for efficient computation and analysis. In the context of kernels, we refer to the function as a kernel, and it is often denoted by a dot product. The kernel matrix represents the mapping between two vector spaces, where each row in the matrix corresponds to an input vector and each column to a kernel
