Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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7 years ago
Sampling For Your Analysis

 So you have a mailing campaign you are about to conduct. Your goal is to secure both increased response rates and sales volume. And a customer targeting methodology is crafted. Nothing elaborate-but response and sales models will be developed. You have results from a previous program, and are prepared to aggregate the data so that it can be mined. We have 974,232 individuals tagged as mailed, and 11,418 flagged as responders. Response models can be developed in the standard way. We may use a sample of mailed households, with associated responders, and a model can be constructed. Similarly,

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