A Gaussian Kernel is a function used in machine learning and statistics to measure similarity between data points, effectively transforming data into a higher-dimensional space. It is widely used in algorithms like Support Vector Machines and Gaussian Processes to enable non-linear classification and regression by leveraging the properties of the Gaussian distribution.