The Epanechnikov Kernel is a popular kernel function used in kernel density estimation, known for its optimal properties in minimizing mean integrated squared error among all kernel functions. It is defined as a quadratic function that is symmetric and has finite support, making it computationally efficient for smoothing data distributions.