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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7 years ago
Wise Practitioner – Predictive Analytics Interview Series: Natasha Balac at Data Insight Discovery, Inc.

 In anticipation of her upcoming conference co-presentation, Identifying Unique Gamer Types Using Predictive Analytics, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Natasha Balac, CEO and Founder of Data Insight Discovery, Inc., a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: It varies, as we work with clients across many verticals from condition based maintenance to forecasting sales.  One great example that we will present at PAW is in the exciting world of Marketing.  This area has been one of the

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