But machine learning is only as good as the data it is operating on. Part of what makes a great use case for machine learning is having large amounts of very precise data. Without this precision however, model guidance gets murky, and often leads to erroneous (and costly) conclusions.
Are you using the right data? You can’t just take Google ranking data, which is effectively the output of a black box, feed it into some sort of machine learning, and automatically get positive results.
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