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What is a key consideration when deploying a machine learning model in a product

Practice Questions

Q1
What is a key consideration when deploying a machine learning model in a production environment?
  1. The model's training time
  2. The model's accuracy on the training set
  3. The model's ability to handle unseen data
  4. The model's complexity

Questions & Step-by-Step Solutions

What is a key consideration when deploying a machine learning model in a production environment?
  • Step 1: Understand that a machine learning model is trained on specific data.
  • Step 2: Recognize that in a production environment, the model will encounter new, unseen data.
  • Step 3: Ensure the model can make accurate predictions on this new data.
  • Step 4: Test the model with different types of data to see how well it generalizes.
  • Step 5: Monitor the model's performance regularly to catch any issues with unseen data.
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