Gaussian Quadrature is a numerical integration technique that approximates the integral of a function using a weighted sum of function values at specified points within the domain of integration. It is highly efficient for polynomials and functions that can be well-approximated by polynomials, as it minimizes the error by optimally choosing both the points and weights based on orthogonal polynomials.