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

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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

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

Challenge and get performance evaluation