Machine Learning Times
Machine Learning Times
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PAW Preview Video: Piotr Wygocki, Ph.D., CEO & Co-Founder at MIM Solutions
 In anticipation of his upcoming presentation at Predictive Analytics...
PAW Preview Video: James Taylor, Decision Management Solutions
 In anticipation of his upcoming presentation at Predictive Analytics...
Wise Practitioner – Predictive Analytics Interview Series: Oscar Porto and Fábio Ferraretto at DHAUZ
 In anticipation of their upcoming presentation at Predictive Analytics...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Predictive Analytics...
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1 year ago
Measuring Invisible Treatment Effects with Uplift Analysis

  Models make predictions by identifying consistent correlations in what has been observed, but we usually require more than predictions to know what action we should take. For example, knowing that older people are more likely to have heart disease is a good first step, but knowing behaviors or treatments that will reduce the risk of heart disease as we age is actionable. Knowing millennials are more likely to buy your product than gen Z is nice, but knowing which marketing approach will persuade gen Z to buy is valuable. In this election season, knowing who will vote

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