Essential math for Data Scientists explained from scratch — Matrices are commonly used in many areas, such as physics, graphics, risk modeling, and statistics. Getting familiar with matrices and their transformations is relatively easy but crucial to understanding data science concepts, including linear regression. So let’s dive into it! The article is divided into two parts:
I. Math Refresher
II. Related…