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What is the primary goal of model deployment in machine learning?
Practice Questions
Q1
What is the primary goal of model deployment in machine learning?
To train the model on new data
To make the model available for use in production
To evaluate the model's performance
To visualize the model's predictions
Questions & Step-by-Step Solutions
What is the primary goal of model deployment in machine learning?
Steps
Concepts
Step 1: Understand that a machine learning model is created to analyze data and make predictions.
Step 2: Realize that after creating the model, it needs to be used in real-world situations.
Step 3: Know that model deployment means putting the model into a system where it can be accessed and used.
Step 4: Acknowledge that the main goal of deployment is to allow the model to give predictions or insights when new data comes in.
No concepts available.
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