In machine learning, a kernel is a function used to compute the similarity between data points in a higher-dimensional space. Kernels enable algorithms like Support Vector Machines (SVM) to perform complex classification tasks by transforming input data without explicitly mapping it to the high-dimensional space. This technique improves the model’s ability to classify non-linear data effectively.