Practice Model Retraining And Feedback Loops (20.5) - Deployment and Monitoring of Machine Learning Models

Practice: Model Retraining and Feedback Loops

Lesson 20.5Deployment and Monitoring of Machine Learning Models

Practise this section

9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is model retraining?
Show hintHide hint
Think about why models need to change over time.
Question 2.
Name one reason for retraining a model.
Show hintHide hint
What happens if data changes and the model doesn’t adapt?
3Question 3.
What is the primary purpose of model retraining?
- To reduce the computational cost
- To improve or maintain model performance
- To increase the model size
Show hintHide hint
Why would a model need to be updated?
4Question 4.
True or False: A/B testing is used to compare the performance of models.
- True
- False
Show hintHide hint
Think about testing two versions of the same software.
Question 5.
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.
Show hintHide hint
Consider the differences between the two groups.
Question 6.
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?
Show hintHide hint
Think about real-world scenarios where human insights can significantly impact decision-making.

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