Mathematics for machine learning learning

12 Sep, 2024

Let's start by reviewing linear algebra! In essence linear algebra is vector manipulation. $\overrightarrow{x}$ is what is considered gemoetric vector, and x is general vector.

Vectors are special objects that can be added together. They can also be multiplied by a scalar to generate another object of the same kind. Given this general definition we can consider the following as vectors:

1. Geometric vectors: where it have a direction and magnitude
2. Polynomials: because they can be added together, and they can be multiplied by a scalar, they could be considered as vector too.
3. Audio signals

I need to learn more about group theory, things like vector and stuff, from chapter 1 and chapter 4 is too mathematical though so i'll just skim through it. I need to understand eigenvector and eigenvalue by heart before moving on.