Machine Learning Times
Machine Learning Times
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Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
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9 years ago
It is a Mistake to…. Discount Pesky Cases

 (Part 7 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Outliers and leverage points can greatly affect summary results and cloud general trends. Yet, one must not routinely dismiss them; they could be the result. The statistician John Aitchison recalled how a spike in radiation levels over the Antarctic was thrown out for years, as an assumed error in measurement, when in fact it revealed a hole in the Ozone layer that proved to be an impressive finding. To the degree possible, visualize your data to

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