Likelihood Geometry is the geometric study of the maximum likelihood estimation problem to an algebraic variety serving as a statistical model. In this talk, basic notions of algebraic statistics and likelihood geometry will be introduced before discussing the maximum likelihood degree of a toric variety (also known as a log-linear model in the statistics context) in more detail.