In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up,” we asked John Foreman, Chief Scientist at MailChimp, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: At MailChimp, we use predictive modeling across the application to improve the experiences of our users. Some examples: We predict users who are unlikely to send spam, and we allow them to begin sending email through the system without manual account vetting (manual vetting slows
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