20.1 - Understanding Model Deployment
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Practice Questions
Test your understanding with targeted questions
What is model deployment in machine learning?
💡 Hint: Think about what happens after a model is trained.
Name the three deployment scenarios discussed.
💡 Hint: Consider the ways predictions can be made based on data availability.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the process of integrating a machine learning model into production called?
💡 Hint: Think about what happens after the model is 'trained'.
True or False: Edge deployment can only happen on high-performance servers.
💡 Hint: Consider the limitations of devices in edge scenarios.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a deployment strategy for a new real-time traffic prediction model. What are the steps and considerations?
💡 Hint: Consider how data will be presented and interacted with by users.
Discuss potential issues that arise with batch inference and how to mitigate them.
💡 Hint: Think about the risks of using old data.
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Reference links
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