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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2 years ago
Podcast: The Accuracy Fallacy and the Media’s Bogus Coverage of AI

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. The Accuracy Fallacy and the Media’s Bogus Coverage of AI Podcast episode description:  Misleading headlines abound, claiming that machine learning can “accurately” predict criminality, psychosis, sexual orientation, and bestselling books. But, when practitioners claim their model achieves “high accuracy,” it’s often bogus. Can AI “tell” if you’re going to have a heart attack? Contrary to bold, public claims, no it cannot. This episode unpacks the undeniable yet

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