Maths behind ML and AI

2026-01-31

This set of articles will go through a detailed exploration of the mathematics behind ML/AI.

But why? If you can explain it (write a blog), then you understand it!

This assumes that you have the following knowledge:

• Linear Algebra: vector spaces, linearly independent, basis.
• Multi-variable calculus: chain rule, partial derivatives.
• Optimization: cost functions

There are plenty of resources online to learn the maths prerequisites.

We will not go into pre/post-processing details here and focus merely on the maths behind AI and ML.

We will cover the following:

• 01 - Linear regression
• 02 - Feed-forward Neural Network

← Linux I/O models | 01 - Linear regression →