What is the significance of containerization in model deployment?
Practice Questions
1 question
Q1
What is the significance of containerization in model deployment?
It improves model accuracy
It simplifies the deployment process and ensures consistency
It reduces the need for data preprocessing
It eliminates the need for model monitoring
Containerization simplifies the deployment process by packaging the model and its dependencies, ensuring consistency across different environments.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the significance of containerization in model deployment?
Solution: Containerization simplifies the deployment process by packaging the model and its dependencies, ensuring consistency across different environments.
