Machine Learning Times
Machine Learning Times
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...

8 years ago
Wise Practitioner – Predictive Analytics Interview Series: Peter Bull at DrivenData

 In anticipation of his upcoming conference presentation, Predicting Restaurant Violations via Yelp Reviews: Crowdsourcing for Social Good, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Peter Bull, Co-founder at DrivenData, 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: Our models predict the count of hygiene violations of different severities for any given restaurant in Boston on any given day. These can be used by the Public Health department to prioritize which restaurants they inspect. Q: How does predictive analytics deliver

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