Sitemap - 2025 - The Palindrome

Representing Graphs

Comparing Algorithms

Correlation vs. cosine similarity

The Competitive Programmer's Introduction to Graph Theory

August recap + what's coming in September

Matrices and graphs

Introduction to Algorithmic Analysis

Announcing The Palindrome lecture series

Education or Experience? Both.

What is infinity and how many of them are there?

Your Machine Learning Library

Become a Sponsor of The Palindrome

Expensing template for The Palindrome

The Roadmap of Mathematics for Machine Learning

The Palindrome is Growing

The Science of Science

What Elden Ring Has Taught Me About Hard Things

Forward vs Backward Differentiation

Do You Have to Learn Math for Machine Learning?

There Are Many Roads to Machine Learning

Your Brain is Wrong About Probability

You get to decide the topic of the upcoming course

The 10 Most Important Lessons 20 Years of Mathematics Taught Me

The Most Important Skill You Were Never Taught

What Full Body Composition Scales Teach About Machine Learning

The Obstacle is the Path

The Anatomy of Logistic Regression

The Derivatives of Computational Graphs

Computational Graphs and the Forward Pass

The official preview of Mathematics of Machine Learning is here!

Computational Graphs as Neural Networks

Visualizing mathematics with Nicolas Garcia Belmonte

Introduction to Computational Graphs

The Camel Principle

Update: "Can Large Language Models replace mathematicians?" fixed!

Can Large Language Models replace mathematicians?

Making AI cheaper, smaller, and faster

Mathematics of Machine Learning is Out Now!