---
title: "Learn to read equations in AI research papers"
description: "A 36-lesson course for reading the notation, types, shapes, operators, and recurring formulas inside AI research papers."
canonical_url: "https://fanout.sh/ml-math/decoder"
md_url: "https://fanout.sh/ml-math/decoder.md"
last_updated: "2026-08-09"
access: "public"
---

# Learn to read equations in AI research papers

A 36-lesson course for reading the notation, types, shapes, operators, and recurring formulas inside AI research papers.

## Public overview

The Math Decoder course is organized into six acts: mathematical syntax, types and shapes, operators, recurring equation patterns, AI formula studios, and unfamiliar-paper practice.

Lessons use a consistent method: define symbols, establish types and shapes, chunk scope, identify the main operator, describe the equation in ordinary language, execute a tiny example, and relate the equation to the paper's purpose.

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