Practice Model Retraining and Feedback Loops - 20.5 | 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 model retraining?

πŸ’‘ Hint: Think about why models need to change over time.

Question 2

Easy

Name one reason for retraining a model.

πŸ’‘ Hint: What happens if data changes and the model doesn’t adapt?

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 the primary purpose of model retraining?

  • To reduce the computational cost
  • To improve or maintain model performance
  • To increase the model size

πŸ’‘ Hint: Why would a model need to be updated?

Question 2

True or False: A/B testing is used to compare the performance of models.

  • True
  • False

πŸ’‘ Hint: Think about testing two versions of the same software.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a scenario using A/B testing for a new social media algorithm. Explain how you would set it up and what metrics you would use to assess its success.

πŸ’‘ Hint: Consider the differences between the two groups.

Question 2

Explain how you would implement human-in-the-loop feedback in a driverless car system. What steps would ensure the model benefits from expert feedback?

πŸ’‘ Hint: Think about real-world scenarios where human insights can significantly impact decision-making.

Challenge and get performance evaluation