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Introduction to AI for Middle School

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Lesson 3.1 Machine Learning and Music Classification

Description

In this project, students build a machine learning model that analyzes and classifies music using Teachable Machine. Students also reflect on the impact training data has on a model’s accuracy.

Objective

Students will be able to:

  • Create a training dataset to build a machine learning model to classify songs based on genre
  • Test their model and evaluate the model’s effectiveness
  • Explain how a model’s dataset impacts its performance

Activities

These are all the activities included in the lesson

3.1.1 Planning our Model
3.1.2 Introduction to Teachable Machine
3.1.3 Gathering Model Data
3.1.4 Training and Testing our Model
3.1.5 Model Reflection
3.1.6 Adding More Training Data
3.1.7 Training Data Reflection
3.1.8 Sharing Your Model
3.1.9 Share Your Model
3.1.10 Extension Ideas