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Five Reasons Why Your Data Science Project is Likely to Fail
mercredi 27 mars 2019, 23:43 , par eWeek
eWEEK DATA POINTS: More than 85 percent of big data projects fail. A number of factors contribute to these failures, including human factors, and challenges with time, skill and impact. Here are some precautionary data points of advice.
security.eweek.com/big-data-and-analytics/five-reasons-why-your-data-science-project-is-likely-to-fa
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56 sources (32 en français)
Date Actuelle
sam. 23 nov. - 05:22 CET
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