Posted inMath that Teaches Machines

Math That Teaches Machines(MTTM) Series

A 10-Part Journey to Understanding Machine Learning (for Grades 5–8)

Each post builds a foundation for key ML ideas through fun, visual, and story-based math.

LessonMath FocusML Intuition / Hook for student
Lesson 1: Patterns Everywhere!Sequences, patterns, logical thinking“How do machines find patterns in data?”
Lesson 2: From Numbers to GraphsCoordinates, plotting, relationships“How can we see data?”
Lesson 3: Lines that PredictLinear equations, slope & intercept“Predicting trends — like grades or prices!”
Lesson 4: The Art of AveragesMean, median, mode, variability“How does AI ‘summarize’ lots of data?”
Lesson 5: Chances and ChoicesProbability, randomness“How do computers deal with uncertainty?”
Lesson 6 : Spaces and DimensionsGeometry, distance, vectors“How do machines know things are ‘similar’?”
Lesson 7: Logic and DecisionsIf-then, binary logic, inequalities“Decision trees: how computers make choices”
Lesson 8: Functions as MachinesInput–output, transformations“Every ML model is a kind of function!”
Lesson 9: Small Brains, Big DataIntroduction to algorithms“What is an algorithm, really?”
Lesson 10: Can Math Think?Pulling it together“Why math is the language of intelligence”