Math4ML Lesson 9: Algorithms and Gradient Descent
This lesson explores algorithms and how repeated, carefully sized steps can improve a model’s predictions.
Math4ML Lesson 8: Functions and Linear Regression
This lesson explores functions, predictions, and how we compare lines using their errors.
Math4ML Lesson 7: Logic and Decisions
This lesson teaches how math helps us make smart choices, and how machines do the same thing
Math4ML Lesson 6: Spaces and Distance
How math helps us understand what’s close, far, and similar, just like machines do.
Math4ML Lesson 5: Changes and Choices
This blog shows lesson plan to teach how probability helps us make smart gueses, and how machines do too.
Math4ML Lesson 4: The Power of Averages
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.
Math4ML Lesson 3: Lines That Predict
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.
Math4ML Lesson 2: From Numbers to Pictures
This lesson shows how graphs turn data into pictures—so patterns become easier to spot and easier to predict.
Math4ML Lesson 1: Patterns Everywhere!
This blog is blog 1 of the Math for Machine Learning (Math4ML) series. It explains how math and machines learn to see the world.