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Must you often test many ideas before finding a workable machine learning solution?
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Match each stage in a simple development cycle with its role.
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What should a team do after the first experiment makes things worse?
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What is the main purpose of running a trial in an iterative machine learning workflow?
Must you often test many ideas before finding a workable machine learning solution?