Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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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6 years ago
Wise Practitioner – Predictive Analytics Interview Series: Richard Boire at Environics Analytics

 In anticipation of his upcoming conference presentation, What it Means to the Data Scientist as Financial Services Faces Disruptive Times, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Richard Boire, Senior Vice President at Environics Analytics, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: It really depends on the business problems we are trying to solve. They can range from building response models, attrition models which are typically marketing-related. However, an increasing part of my work is

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