Practice Incorporating Feedback (20.5.2) - Deployment and Monitoring of Machine Learning Models

Practice: Incorporating Feedback

Lesson 20.5.2Deployment and Monitoring of Machine Learning Models

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is active learning in machine learning?
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Think about how machines can ask for help.
Question 2.
What role do human experts play in the human-in-the-loop approach?
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Consider the importance of human judgment.
3Question 3.
What is one benefit of active learning?
- It eliminates the need for human feedback.
- It enables models to learn from uncertain predictions.
- It requires no data at all.
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Think about how machines learn.
4Question 4.
True or False: The human-in-the-loop approach helps improve model performance.
- True
- False
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Consider the role of humans in teaching.
Question 5.
Propose a system where active learning is implemented in a customer support AI. Describe the data flow and feedback mechanisms.
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Focus on how uncertainty triggers human intervention.
Question 6.
Evaluate the pros and cons of relying entirely on automated feedback systems without human intervention.
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Think of the value of expertise versus automation.

5 more questions in this section. Enroll free to practise them all.