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Which process covers algorithm selection, model training, hyperparameter tuning, and model evaluation in the Experimentation and Prototyping activity?

Practice More Questions From: Understanding the ML Enterprise Workflow

Q:

Which two activities are involved in ML development?

Q:

Which process covers algorithm selection, model training, hyperparameter tuning, and model evaluation in the Experimentation and Prototyping activity?

Q:

What is the correct process that data scientists use to develop the models on an experimentation platform?

Q:

If the model needs to be repeatedly retrained in the future, an automated training pipeline is also developed. Which task do we use for this?

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