1.4.7 - Deployment
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Practice Questions
Test your understanding with targeted questions
What is deployment in data science?
💡 Hint: Think about the purpose of making data science models practical.
Name one way a model can be deployed.
💡 Hint: Consider common tech interfaces we use regularly.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of deployment in data science?
💡 Hint: Think about how insights are shared with stakeholders.
True or False: Monitoring is unnecessary after a model is deployed.
💡 Hint: Consider what might happen if parameters change.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Consider a healthcare model that predicts disease outbreaks. How would data drift over time affect its predictions, and what measures can be implemented for its maintenance post-deployment?
💡 Hint: Think about how historical data may differ from current realities.
Describe how you would deploy a customer segmentation model for an e-commerce platform. Outline the xpected user interactions and monitoring strategies post-deployment.
💡 Hint: Consider what users might want to achieve with the tool.
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Reference links
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