# Mathematics for Machine Learning

> Source: https://ollybritton.com/notes/textbooks/mathematics-for-machine-learning/ · Updated: 2026-05-15 · Tags: textbook, notes

“Mathematics for Machine Learning” is a textbook about, wait for it, mathematics for understanding machine learning. It is split into two parts:

- Part I, which deals with the mathematical foundations for machine learning, namely:
	- [redacted](https://ollybritton.com/404)
	- MML - Analytic Geometry
	- MML - Matrix Decompositions
	- MML - Vector Calculus
	- MML - Probability and Distributions
	- MML - Continuous Optimisation
- Part II, which deals with the “four pillars of machine learning”, described as:
	- MML - Linear Regression
	- MML - Dimensionality Reduction
	- MML - Density Estimation
	- MML - Classification with Support Vector Machines

---
Olly Britton — https://ollybritton.com. Machine-readable index: https://ollybritton.com/llms.txt