Introduction Vector norms serve as the backbone of various mathematical computations. In the context of machine learning, norms influence many areas, from optimization to model evaluation. At its core, a norm is a function that assigns a positive length or size to each vector in a vector space. It’s a measure of the magnitude of a vector. In more tangible terms, if you were to represent a vector as an arrow, the norm would be the length of that arrow. In this episode, let’s deep dive into the various types of vector norms and understand their real-world implications, especially in […]