About this document
Matrix Calculus Properties Explained by samhith23 is a document available to read on EtoBox.
This document discusses properties of matrix calculus that are useful for machine learning algorithms. It defines notation for matrices and vectors. Key properties include: the gradient of a function with respect to a matrix; derivatives of operations involving transposes, traces, and sums of matrices; and an example of deriving the least squares solution for linear regression using these properties.
- Author
- samhith23
- Language
- EN