Machine Learning Times
Machine Learning Times
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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...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
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4 years ago
Wise Practitioner – Predictive Analytics Interview Series: Bob Nisbet at University of California, Irvine

  By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, May 31-June 4, 2020 we asked Bob Nisbet, Instructor at University of California, Irvine, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, Modeling of Volatile Organic Compounds (VOCs) to Predict Cancer Presence, and see what’s in store at the PAW Healthcare conference in Las Vegas. Q: In your work with predictive analytics, what area of healthcare are you focused on? A: Volatile Analysis Corporation is focused

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