High School Mathematics with AI and Machine Learning

Algebra, Calculus, Statistics, Proof and the Maths Behind Machine Learning: A Practical Guide for Secondary Maths Teachers

Machine learning is built from the maths students already study. This guide shows secondary mathematics teachers how to connect the two. Eight chapters cover the history of AI and machine learning, from computer algebra to Olympiad AI, algebra and symbolic tools, calculus and functions as the engine of learning, statistics, probability and classification, and problem solving, modelling and proof.

A chapter on the mathematics inside machine learning links gradients, vectors and probability to real models. The final chapter covers assessment, calculators and academic integrity. Worked ideas, classroom activities and academic references are included. Use it to make abstract topics purposeful and to prepare students for a data-driven world.