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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is model drift?
π‘ Hint: Think about how predictions can vary as conditions change.
Question 2
Easy
Why is retraining important?
π‘ Hint: Consider accuracy in business decisions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is model drift?
π‘ Hint: Think about how models perform over time.
Question 2
True or False: Periodic retraining of models is unnecessary if they performed well initially.
π‘ Hint: Consider the concept of changing data.
Solve 1 more question and get performance evaluation
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.
π‘ 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.
π‘ Hint: Think about how financial markets fluctuate.
Challenge and get performance evaluation