Lesson Overview
In this lesson students will train and test a machine learning (ML) model using their own movement data and improve their model through adding more data. Students clean their data sets, identify and remove outliers, and observe how the quality and quantity of training data affects their model's performance.
Subjects & Topics
- AI literacy: Understanding AI, How machines learn, Human role in AI design, Testing ML models, Iterating ML models
- Data literacy: Cleaning data
Key Learning
By the end of this lesson, students will be able to:
- Improve their machine learning (ML) model by cleaning data and adding more data.
- Train and test their ML model to react to different kinds of movements.
- Describe that their ML model matches new data to types of data it has been trained on.