20.6.2 - Common Challenges
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Practice Questions
Test your understanding with targeted questions
What is reproducibility in the context of machine learning?
💡 Hint: Think about testing and production environments.
Why is data drift a concern in deployed machine learning models?
💡 Hint: Consider how data changes over time.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary concern with data drift?
💡 Hint: Think about how data changes after a model is initially trained.
Load balancing improves system performance. True or False?
💡 Hint: Consider what happens when all requests go to a single server.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design an end-to-end pipeline that handles model deployment and retraining in response to data drift. Make sure to include all necessary components.
💡 Hint: Think about the flow of data and feedback mechanisms.
A deployed model is showing signs of degradation in performance after a new feature was added. Discuss how you would analyze and rectify this issue.
💡 Hint: Consider steps in the model validation process.
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