Essential Math for Data Science: Matrix Diagonalization Clearly Explained
Your Friendly Guide to the Math behind Data Science and AI 1 Introduction Matrix diagonalization is a crucial concept in linear algebra with tons of applications. Even more importantly, it is the KEY to understanding advanced and essential data science topics like the singular value decomposition (SVD) and principal component analysis (PCA). This article goes beyond