Which two activities are involved in ML development?
Which process covers algorithm selection, model training, hyperparameter tuning, and model evaluation in the Experimentation and Prototyping activity?
What is the correct process that data scientists use to develop the models on an experimentation platform?
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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