Do Your Data Scientists Know the ‘Why’ Behind Their Work?
Most Data Science initiatives & projects fail. By some estimates, when judged by practical or actionable outcomes, less than 5% of all ML, AI, Analytics and Deep Learning work may be considered successful. For a profession which prides itself in...
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