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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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is model drift?

πŸ’‘ Hint: Think about how predictions can vary as conditions change.

Question 2

Easy

Why is retraining important?

πŸ’‘ Hint: Consider accuracy in business decisions.

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 model drift?

  • Improvement in model accuracy
  • Decline in model performance
  • Consistent model results

πŸ’‘ 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

πŸ’‘ Hint: Consider the concept of changing data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

πŸ’‘ Hint: Consider how you would approach ongoing evaluation.

Question 2

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

πŸ’‘ Hint: Think about how financial markets fluctuate.

Challenge and get performance evaluation