Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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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7 years ago
Are You Practicing “Bad Data Science” with your Pre-Hire Talent Assessments?

 Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire.  We treat this dataset just like any other dataset in our predictive work.  We are careful to analyze it for a strong (or weak) correlation to actual job performance. Our theory?  If there is no correlation between data gathered via this method our clients should stop using it.  Continuing without proof of success would be a little like a doctor “knowing” a certain medication doesn’t work for you, but continues to encourage their patients to keep using

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