Add "The Math Behind Artificial Intelligence" to Foundational Books

[tiagomonteiro0715]

Added mathematical foundations resource to the Foundational Books subsection:

• The Math Behind Artificial Intelligence by Tiago Monteiro (freeCodeCamp, 2026)
• Free book covering linear algebra, multivariable calculus, probability & statistics, and optimization theory
• Engineering-focused explanations with visual aids and Python code examples
• Designed for readers with basic algebra background

Position: Added as the fourth entry in the Foundational Books subsection, after "Reinforcement Learning: An Introduction".

[tiagomonteiro0715]

What does this PR do?

Adds a free educational book on the math behind AI

@owainlewis

Description

Adds "The Math Behind Artificial Intelligence" by Tiago Monteiro to the Math section of the supplementary readings.

This book provides a introduction to the mathematical foundations needed for AI and machine learning.

Covering linear algebra, calculus, probability, and optimization theory.

Why is this valuable?

• Bridging Core Math and Machine Learning: Connects the mathematical concepts taught in Core Math (calculus, linear algebra, probability) directly to their applications in the Machine Learning course in Core Applications
• Free and accessible: Hosted on freeCodeCamp.org with no registration, paywall, or account required

The book is already included in several repositories:

• EbookFoundation/free-programming-books — 382K stars
• awesome-machine-learning — 71.5K stars
• awesome-datascience — 28.2K stars
• awesome-nlp — 18.1K stars
• awesome-math — 13.3K stars
• Awesome-pytorch-list — 16.4K stars

Resource details

• Link: https://www.freecodecamp.org/news/the-math-behind-artificial-intelligence-book
• Author: Tiago Monteiro
• Format: Free HTML book
• Topics covered: Linear algebra, calculus, probability, statistics, optimization