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Oak ComputingTest · Computing

Approaches to training machine learning models

The starter and exit quiz of the lesson “Approaches to training machine learning models”, from the unit “Data science: AI and machine learning” (Year 10 Computing) by Oak National Academy.

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Oak National Academy

12 questions

  1. Put these steps in order for preparing data for an AI model:
  2. What is the main purpose of a data-driven model?
  3. Why is it important for data to be accurate when training an AI model?
  4. What is the term for fixing errors in a data set?
  5. What is one reason data needs to be cleaned before use?
  6. Which of these is an example of bias in data?
  7. What type of machine learning uses labelled data to train a model?
  8. Which of these is a type of supervised learning?
  9. What is the main characteristic of unsupervised learning?
  10. What is the name for the process in unsupervised learning where similar data points are grouped together?
  11. Match each example to the correct term:
  12. Which statement about supervised learning is correct?

License: OGL

Approaches to training machine learning models · Examplary