A summary about scalar and vector derivatives.
In this article we study the solution to a regression with squared error loss. We start with the theoretical formulation before tackling the problem in practice.
In this article, I show that the normal equations define the orthogonal projection of a vector onto a linear subspace.
The Moore-Penrose inverse of a matrix is used to approximatively solve a degenerate system of linear equations.
In machine learning, the best parameters for a model are chosen so as to minimize the training objective. Strictly convex functions are paticularly interesting because they have a...
In this article, I will apply the rules of probability calculus to derive the rules of propositional logic (also called propositional calculus).
This article explains the intuition behind the change of basis matrix.