# Math Foundations

> Linear algebra, calculus, statistics, and probability — the mathematical backbone of machine learning (153 notebooks across 10 learning tracks).

![Status: complete](https://img.shields.io/badge/status-complete-brightgreen)

Open [`03-maths.ipynb`](./03-maths.ipynb) for learning objectives, prerequisites, and recommended reading order.

## Topics Covered

- Linear algebra: vectors, matrices, eigenvalues
- Calculus: derivatives, gradients, and optimisation
- Probability and statistics for ML
- Tracks: 3Blue1Brown, MML-Book, CS229, ISLP, MLPP, DLI, SLP, and more

## Prerequisites

[01-python/README.md](../01-python/README.md)

## What Comes Next

[04-token/README.md](../04-token/README.md)
