AWS AI Practitioner
A machine learning (ML) engineer needs to create a pipeline that will automate the building and deployment of an ML model. The engineer needs to put the steps in the correct order. Which order of steps should the ML engineer follow?
Explicación
The correct ML pipeline order is: 1) Prepare data for training (data collection, cleaning, and feature engineering), 2) Train the model (fit the model on training data), 3) Test the model (evaluate performance on test data), 4) Deploy the model (make it available for inference in production).