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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4 years ago
Wise Practitioner – Predictive Analytics Interview Series: Todd Dewees & Michael Golafshar at Mayo Clinic

 By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare In anticipation of their upcoming keynote presentation at Predictive Analytics World for Healthcare Las Vegas, May 31-June 4, 2020, we asked Todd Dewees, Associate Professor of Biostatistics, Radiation Oncology and Michael Golafshar, Statistical Programmer Analyst at Mayo Clinic, a few questions about their deployment of predictive analytics. Catch a glimpse of their keynote presentation, Proton Therapy Reduces Patient-Reported Adverse Events: A Neural Network for Large-Volume Practice, and see what’s in store at the PAW Business conference in Las Vegas. Q: In your work with predictive analytics, what area of healthcare are you focused on? A: Our

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