Kernels in machine learning, particularly in the context of support vector machines (SVMs), play a important role in handling complex data without explicitly increasing the dimensionality of the dataset. This ability is rooted in the mathematical concepts and algorithms underlying SVMs and their use of kernel functions. To understand how kernels achieve this, let's first