Abstract: Numerical algebraic geometry is a computational framework for studying solution sets to polynomial equations (called varieties) using numerical algorithms. In contrast to symbolic methods (e.g. Grobner bases) which manipulate polynomials, numerical algorithms manipulate points on varieties. In this sense, numerical algebraic geometry may be thought of as the geometric side of computational algebraic geometry. In this talk, I will explain the basics ideas underlying the theory of numerical algebraic geometry.