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

Practice Questions

Q1
What is the primary purpose of model deployment in machine learning?
  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

Questions & Step-by-Step Solutions

What is the primary purpose of model deployment in machine learning?
  • Step 1: Understand that a machine learning model is created by training it on data.
  • Step 2: Realize that after training, the model needs to be used in real situations.
  • Step 3: Know that model deployment is the process of making the trained model available for use.
  • Step 4: Recognize that once deployed, the model can take new data and make predictions.
  • Step 5: Conclude that the primary purpose of model deployment is to enable the model to be used in real-world applications.
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