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: Dongyang Fu and Wen Shi at Concord Advice

 In anticipation of their upcoming conference presentation, Improving Credit Scoring with Hierarchical Bayesian Modeling at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked Dongyang Fu and Wen Shi, Data Scientists at Concord Advice, a few questions about their work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: There are two major fields we apply predictive modelling technique: Risk management where we try to differentiate good and bad customers based on their credit history data. Online marketing we identify higher potential customer.  Q: How does

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