Machine Learning Times
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AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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9 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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