I Built the Knowledge Graph of Machine Learning
Exploring the structure of machine learning
Hey! It’s Tivadar from The Palindrome.
“How to get started in machine learning?” is one of the most common questions I get. I have a couple of default answers, but they are based more on my personal experience than on science.
Inspired by this, I’ve mapped out the knowledge graph of machine learning, building a hierarchy of concepts that can guide you from the foundations to the state of the art.
A couple of fascinating patterns have emerged from my journey: the thin spine of mathematics that holds up the entire knowledge graph, the central concepts like gradient descent that enable modern machine learning as we know it, and more.
Here’s the video where I talk about my findings:


