Practice Step 7: Monitoring and Feedback Loop - 18.3.7 | 18. Data Science for Business and Decision- Making | Data Science Advance
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Step 7: Monitoring and Feedback Loop

18.3.7 - Step 7: Monitoring and Feedback Loop

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is model drift?

💡 Hint: Think about how predictions can vary as conditions change.

Question 2 Easy

Why is retraining important?

💡 Hint: Consider accuracy in business decisions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is model drift?

Improvement in model accuracy
Decline in model performance
Consistent model results

💡 Hint: Think about how models perform over time.

Question 2

True or False: Periodic retraining of models is unnecessary if they performed well initially.

True
False

💡 Hint: Consider the concept of changing data.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are managing an AI recommendation system for an e-commerce site. Describe the steps you'd implement to ensure the system remains effective over time.

💡 Hint: Consider how you would approach ongoing evaluation.

Challenge 2 Hard

A financial institution's forecasting model has not been retrained for two years. Analyze potential impacts of this stagnation.

💡 Hint: Think about how financial markets fluctuate.

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