LEARN / Math for Machine Learning

Discover the math behind machine learning.

Start with patterns you can see and questions you can ask. Through stories, pictures, videos, and hands-on activities, explore how models make predictions, check mistakes, and improve.

For curious learners, families, and teachers

Start with Lesson 1 Browse the learning path ↓Read the series introduction →
Two learners explore patterns and predictions with colorful data points.
  1. Notice a pattern
  2. Make a prediction
  3. Check and improve

YOUR NEXT STEP

Choose a place to begin

9 lessons + series introduction

PATH 01

See patterns and predictions

Lessons 1–3: move from everyday patterns to data pictures and lines that predict.

PATH 02

Build your mathematical toolkit

Lessons 4–7: explore averages, change, distance, and the logic behind decisions.

PATH 03

Help a model learn

Lessons 8–9: connect functions and prediction errors with algorithms that improve a model.

Using the companion videos: watch the opening story before the lesson, pause to make a prediction, then try the activity. Lesson 8 hosts the combined video for Lessons 8 and 9; the written lessons explore each idea in more detail.