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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of retraining an AI model?
💡 Hint: Think about how data changes over time.
Question 2
Easy
Define data drift.
💡 Hint: Consider the word 'drift' in the context of stability.
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 the main purpose of retraining AI models?
- To improve data collection
- To maintain accuracy over time
- To increase complexity
💡 Hint: Consider the model's effectiveness in changing environments.
Question 2
True or False: Data drift does not affect the need for retraining models.
- True
- False
💡 Hint: Think about how data can change and what that means for a model.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a situation where a financial model suffered from data drift. Outline a strategy to retrain this model effectively.
💡 Hint: What would be the first step in identifying the drift?
Question 2
Propose a complete system for implementing shadow deployment for an e-commerce recommendation system.
💡 Hint: What metrics would help you determine which model performs better?
Challenge and get performance evaluation