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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8 years ago
Wise Practitioner – Predictive Analytics Interview Series: Robin Thottungal at U.S. Environmental Protection Agency

 In anticipation of his upcoming conference keynote presentation, 21st Century Data-Driven Environmental Protection at Predictive Analytics World for Government, October 17-20, 2016, we asked Robin Thottungal, Chief Data Scientist/Director of Analytics at the U.S. Environmental Protection Agency (EPA), a few questions about his work in predictive analytics. Q: How would you characterize your agency’s current and/or planned use of predictive analytics?  What is one specific way in which predictive analytics actively drives decisions in your agency? A: Every day, EPA tackles enormous challenges to protect human health and the environment. And now we realize that strategy alone is

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