ML pipeline · Question 1 of 12
Which order of phases is typical in an ML project?
1 answer is correct. Easy
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Answer
- C Collect data, prepare, train, evaluate, deploy, monitor
Explanation
An ML project starts with the business goal and the data. Collection and preparation are followed by training and evaluation, then deployment. In operation the model is monitored and retrained when needed, so the cycle starts again.