Add "The Math Behind Artificial Intelligence" to Machine Learning books

[tiagomonteiro0715]

Added a new resource to the Machine Learning books section:

• The Math Behind Artificial Intelligence: A free book from freeCodeCamp that explains the mathematical foundations of AI from an engineering perspective
• Covers linear algebra, calculus, probability & statistics, and optimization theory
• Features visual explanations, analogies, real-world applications, and Python code examples
• Published in 2026, complements the existing ML book collection with a focus on mathematical intuition

Position: Added as the last item in the Machine Learning books subsection, following "Bayesian Reasoning and Machine Learning".

[tiagomonteiro0715]

What does this PR do?

Adds a free educational book on the math behind AI

@jbhuang0604

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