Prediction Models
Computer-generated prediction models are everywhere. They are used by meteorologists, banks have systems that detect suspicious transactions, email inboxes filter out spam, mobile phone providers try to predict which customers are likely to switch to competitors, pharmaceutical companies analyze the effects of new compounds, and cars are becoming increasingly precise at recognizing road obstacles.
A branch of AI that can construct such models based on training data is called Machine Learning.
Modern prediction models are complex. Building deep neural networks requires massive datasets, sophisticated algorithms, powerful computers, vast storage, and a tremendous amount of energy to run. However, simple models can be built even in a classroom.
Ideas for lessons
What are the gnomes doing?
Why did Hugo become a miner?mathematics
Animal tree
How to distinguish a fish from a bird?natural sciences and technology
Identifying Quadrilaterals
Creating Rules for Distinguishing Between Types of Quadrilateralsmathematics
