Machine Learning Times
Machine Learning Times
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
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...

9 years ago
It is a Mistake to…. Answer Every Inquiry

 (Part 9 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) I’m tempted to start with a kind of query that experience teaches some of us not to answer, like “Does this data make me look fat?” But that actually misleads about the point I’m trying to make. Data Scientists (and their models) should answer all queries as truthfully as the evidence allows, regardless of how happy or unhappy that makes the questioner. What I am arguing here is we shouldn’t answer when our opinion is unqualified;

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