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Jev Fever: Predictive AI Is Superhot Again
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GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
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11 years ago
Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, 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:  We use predictive models for several different purposes mainly in the context of advertising campaigns and sentiment measurement. To identify lookalikes: these models take demographics and behaviors and identify users with similar characteristics. To partition the social graph into clusters of connected users

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