Linear Algebra 101 for Machine Learning | Scalar, Vector, Matrix explained

Some math is necessary to get started with machine learning and understand most of the beginner discourse on the topic, especially if you are looking into the theory of it. So let’s get you started with some of the basic terminology and objects that are important from the area of linear algebra. Why do we…… Continue reading Linear Algebra 101 for Machine Learning | Scalar, Vector, Matrix explained

Eigendecomposition explained – Data Science Math

The general concept is a bit similar to the idea of decomposing an integer into its prime factors, where we learn some interesting properties that are inherent to the number or in this case matrix. Instead of into prime factors, we decompose the matrix into its eigenvectors and eigenvalues. Let me give you the “official”…… Continue reading Eigendecomposition explained – Data Science Math

The group of symmetries of the square

Groups are a basic mathematical algebraic structure that I presented in this blog post, where I also gave the example of the group . Here I want to expand on this and give another more visual example. Symmetries are a big part of group theory and its applications. You can present every group as symmetries…… Continue reading The group of symmetries of the square

What is a group? Example and applications [Math]

Groups are a common object in abstract mathematics, but they also have various applications outside of math as we will see later. In this post I will give you the details of what a group is and because theoretical definitions can be hard to grasp, I also included a simple example. Definition of a group…… Continue reading What is a group? Example and applications [Math]