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Applications of AI and Machine Learning

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Lesson 2.3 Selecting Valid Datasets

Description

In this lesson, students will learn about what key characteristics make up a good training dataset and explore the impact of using a biased dataset on a face-recognition model.

Objective

Students will be able to:

  • Explain how a biased dataset can impact the quality of a model
  • Understand the qualities that make up a good training dataset

Activities

These are all the activities included in the lesson

2.3.1 Selecting Valid Datasets
2.3.2 Selecting Valid Datasets
2.3.3 Lab: Face Recognition and Datasets
2.3.4 Cats and Dogs Revisted