Question: What is the primary purpose of model deployment in machine learning?

Options:

1. To train the model on new data
2. To make the model available for use in production
3. To evaluate the model\'s performance
4. To visualize the model\'s architecture

Correct Answer: To make the model available for use in production

Solution:

Model deployment makes the trained model available for use in real-world applications, allowing it to make predictions on new data.