Practice Model Updating - 4.2.3 | Chapter 6: AI and Machine Learning in IoT | IoT (Internet of Things) Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is concept drift?

💡 Hint: Think about how external conditions can change affect modeled predictions.

Question 2

Easy

Why is model monitoring necessary?

💡 Hint: Consider the related concepts of reliability and accuracy.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does concept drift represent?

  • A change in user behavior
  • A change in input data properties
  • An increase in model training time

💡 Hint: Think about changes affecting predictions.

Question 2

True or False: Monitoring a model is not necessary if it was accurate during initial deployment.

  • True
  • False

💡 Hint: Recall the importance of maintaining updates.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a framework for a remote model updating mechanism in a smart factory. Include monitoring and retraining methodologies.

💡 Hint: Consider how frequent communication can enhance adaptability.

Question 2

Discuss the implications of not addressing concept drift in a real-world IoT application.

💡 Hint: Think about long-term business sustainability and operational risk.

Challenge and get performance evaluation