Practice Model Updating (4.2.3) - Chapter 6: AI and Machine Learning in IoT

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8 questions

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6 sample questions

Question 1.
What is concept drift?
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Think about how external conditions can change affect modeled predictions.
Question 2.
Why is model monitoring necessary?
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Consider the related concepts of reliability and accuracy.
3Question 3.
What does concept drift represent?
- A change in user behavior
- A change in input data properties
- An increase in model training time
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Think about changes affecting predictions.
4Question 4.
True or False: Monitoring a model is not necessary if it was accurate during initial deployment.
- True
- False
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Recall the importance of maintaining updates.
Question 5.
Design a framework for a remote model updating mechanism in a smart factory. Include monitoring and retraining methodologies.
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Consider how frequent communication can enhance adaptability.
Question 6.
Discuss the implications of not addressing concept drift in a real-world IoT application.
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Think about long-term business sustainability and operational risk.

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