Gaussian kernel

The Gaussian kernel is a mathematical function used in machine learning to measure the similarity between two data points. Think of it as a way to determine how close or related two items are in a high-dimensional space. It assigns higher values to points that are near each other and lower values as the points get farther apart, following a bell-shaped curve called the Gaussian or normal distribution. This helps algorithms, like support vector machines, to effectively identify patterns and make predictions by considering not just individual points but their relationships based on proximity.