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4 cards from this section. Quick, good the night before a test.
What is model size?
Think about how much space a model takes on a computer.
Why is inference time important?
Consider scenarios where quick responses are needed.
What is the significance of model size in deployment?
Remember how quickly you need responses during operation.
True or False: SHAP and LIME are used to improve model speed.
Think about the purpose of these tools in understanding model outputs.
Consider a company deploying a machine learning model for real-time product recommendations. Discuss the implications of model size and inference time in this scenario. What strategies could the company implement to ensure both size efficiency and speed?
Think about how e-commerce platforms function.
A healthcare organization requires a machine learning model that predicts patient outcomes. Explain the importance of model interpretability and monitoring in this context. How could SHAP and LIME contribute here?
Consider how patient care relies on accurate and trustworthy information.
6 more questions in this section. Enroll free to practise them all.
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