Data for machine learning · Question 14 of 60
How much effort does data preparation take in the ML workflow compared with other steps?
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Answer
- C It is one of the most crucial and resource-intensive activities and usually takes more effort than model selection
Explanation
Preparing the data is usually the biggest chunk of the ML workflow. It generally takes much more time than, say, choosing and building the model. Closely tied to it is the data pipeline, which turns raw data into usable data for training and prediction.