Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...
SHARE THIS:

3 years 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

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.