Published: 25 April 2018
Analyst(s): Sandy Shen , Nigel Shen
Organizational and process pitfalls in data science and machine-learning projects have the potential to derail success and destroy organizationwide confidence in these techniques. Data and analytics leaders should use this checklist to avoid six critical project execution pitfalls.
Six Pitfalls to Avoid When Executing Data Science and Machine-Learning Projects
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