Practice Incorporating Feedback - 20.5.2 | 20. Deployment and Monitoring of Machine Learning Models | Data Science Advance
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Incorporating Feedback

20.5.2 - Incorporating Feedback

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is active learning in machine learning?

💡 Hint: Think about how machines can ask for help.

Question 2 Easy

What role do human experts play in the human-in-the-loop approach?

💡 Hint: Consider the importance of human judgment.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

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.

💡 Hint: Think about how machines learn.

Question 2

True or False: The human-in-the-loop approach helps improve model performance.

True
False

💡 Hint: Consider the role of humans in teaching.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Propose a system where active learning is implemented in a customer support AI. Describe the data flow and feedback mechanisms.

💡 Hint: Focus on how uncertainty triggers human intervention.

Challenge 2 Hard

Evaluate the pros and cons of relying entirely on automated feedback systems without human intervention.

💡 Hint: Think of the value of expertise versus automation.

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