Kernel

In machine learning, a **kernel** is a function that computes the similarity between data points in a higher-dimensional space without explicitly transforming the data there. This allows algorithms like Support Vector Machines to learn complex, nonlinear relationships efficiently. Essentially, it replaces inner products in feature space with a simpler computation in the original space.