After two blog posts earlier this year on Chebyshev and Jacobi polynomials, I am coming back to orthogonal polynomials, with Hermite polynomials. This time, in terms of applications to machine learning, no acceleration, but some interesting closed-form expansions in positive-definite kernel methods. Definition and first properties There are many equivalent ways to define Hermite polynomials….