Podcast
Questions and Answers
What is the purpose of a global surrogate model?
What is the purpose of a global surrogate model?
- To simulate the black box model
- To approximate the predictions of a black box model and provide interpretability (correct)
- To replace the black box model
- To train the black box model
What distinguishes surrogate models used in engineering from those used in interpretable machine learning?
What distinguishes surrogate models used in engineering from those used in interpretable machine learning?
- The interpretability of the model
- The underlying model is a machine learning model and the surrogate model must be interpretable (correct)
- The time it takes to train the model
- The complexity of the model
Why might a surrogate model be used in engineering?
Why might a surrogate model be used in engineering?
- If the data is too large
- If the model needs to be interpretable
- If an outcome is difficult to measure (correct)
- If the model is too complex
What is a characteristic of a surrogate model in machine learning?
What is a characteristic of a surrogate model in machine learning?
What is a common use of surrogate models?
What is a common use of surrogate models?
What is a barrier to the adoption of machine learning?
What is a barrier to the adoption of machine learning?
What is the focus of the book?
What is the focus of the book?
Which of the following methods is not used for interpreting black box models according to the book?
Which of the following methods is not used for interpreting black box models according to the book?
What does the book say about the interpretation methods?
What does the book say about the interpretation methods?
Which of the following models is not mentioned in the book as a simple, interpretable model?
Which of the following models is not mentioned in the book as a simple, interpretable model?
Which of the following models is not interpretable on a modular level according to the text?
Which of the following models is not interpretable on a modular level according to the text?
Which of the following is not a property of an interpretable model?
Which of the following is not a property of an interpretable model?
What does the text suggest about the content available on interpretable models?
What does the text suggest about the content available on interpretable models?
Which of the following models is not mentioned in the text as being discussed in more detail in the book?
Which of the following models is not mentioned in the text as being discussed in more detail in the book?
What is a characteristic of a model that is linear according to the text?
What is a characteristic of a model that is linear according to the text?
What is the primary objective of Explainable AI (XAI)?
What is the primary objective of Explainable AI (XAI)?
What does Explainable AI (XAI) contrast with in machine learning?
What does Explainable AI (XAI) contrast with in machine learning?
What can Explainable AI (XAI) potentially be an implementation of?
What can Explainable AI (XAI) potentially be an implementation of?
What does Explainable AI aim to unveil?
What does Explainable AI aim to unveil?
What can Explainable AI (XAI) help to generate?
What can Explainable AI (XAI) help to generate?
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