Module 1 - Lesson 3: Classification

Learners will explore how machine learning (ML) models are created with supervised learning. They will build their understanding of how labelled training data is used to train classification models by interacting with Quick, Draw!, an interactive AI tool. Finally, they will examine how confidence scores are used in ML model predictions.

Learning objectives

  • Describe how supervised learning is used to create a classification model using classes and labelled data
  • Explain how confidence scores are used in classification predictions

Key vocabulary

Supervised learning, Classification, Class, Label, Confidence score

Lesson structure

  • Activity 1: Rule-based or data-driven?
  • Activity 2: Classification
  • Activity 3: Other types of classification
  • Optional: Classification in the real world

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