The paper is a brief survey of basic ideas in the general theory of Gaussian probability distributions in multi-dimensional vector spaces. Using different approaches the author helps readers to understand more clearly the nature of the Gaussian measures: Where do Gaussian distributions come from? What are Gaussian measures? Multidimensional Hermite-Itô polynomials and orthgonal expansions. Gaussian random processes and fields. These and several other questions are discussed.