Contrary to what others may have you believe, harnessing the power and insights of Machine Learning solutions requires more than distributed big data environments and cutting-edge statistical models. The factor that often differentiates between success and failure for these projects is centered around one much less glamorous and overlooked factor: the quality and understandings behind the base data.
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