Orthogonalization is a mathematical process that transforms a set of vectors into a set of orthogonal vectors, which are mutually perpendicular and often normalized. This is crucial in simplifying computations in linear algebra, especially in tasks like solving systems of equations, performing principal component analysis, and optimizing algorithms in machine learning.