Math for Machine Learning

This lesson teaches how math helps us make smart choices, and how machines do the same thing

How math helps us understand what’s close, far, and similar, just like machines do.

This blog shows lesson plan to teach how probability helps us make smart gueses, and how machines do too.

An introduction to averages: learn mean, median, and mode, see how outliers can change what “typical” looks like, and try quick activities that turn real data into a single useful number.

A beginner-friendly introduction to linear regression: understand slope and intercept, see how lines capture relationships in data, and try simple prediction activities using real points and best-fit lines.

This lesson shows how graphs turn data into pictures—so patterns become easier to spot and easier to predict.

This blog is blog 1 of the Math for Machine Learning (Math4ML) series. It explains how math and machines learn to see the world.

A 10-Part Journey to Understanding Machine Learning (for Grades 6–8). Each post builds a foundation for key ML ideas through fun, visual, and story-based math. This series is for complete beginner and does not assume that the students know anything about machine learning, algebra or calculus.