1.6 - Monitoring and Updating
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Practice Questions
Test your understanding with targeted questions
What is concept drift in machine learning?
💡 Hint: Think about why a model might fail over time.
Why is continuous monitoring important?
💡 Hint: Consider how environments change.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main reason for continuous monitoring of an ML model?
💡 Hint: Think about why models might fail.
True or False: Concept drift means a model always improves its accuracy over time.
💡 Hint: Consider how models might lose touch with reality.
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Challenge Problems
Push your limits with advanced challenges
Design a continuous monitoring system for a remote environmental sensor that predicts air quality levels. Describe the components involved and how you would detect concept drift.
💡 Hint: Incorporate elements like user interface and feedback data from real-world applications.
Evaluate the impact of not addressing concept drift in a financial fraud detection system. What could be the consequences?
💡 Hint: Think about how outdated models may misinterpret new fraudulent patterns.
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