Media Summary: Given the vast amounts of data that marketers now have on their customers, it's no surprise that many are looking to optimise their ... Multiple treatments sometimes are compared with a control group and with each other in an experiment. The experiment outcome ... In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for interpretable machine
Explainable S Learner Uplift Model - Detailed Analysis & Overview
Given the vast amounts of data that marketers now have on their customers, it's no surprise that many are looking to optimise their ... Multiple treatments sometimes are compared with a control group and with each other in an experiment. The experiment outcome ... In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for interpretable machine Multiple treatment groups sometimes exist in an experiment to compare with a control group. In this tutorial, we will talk about how ... Alicia Curth explains how to estimate heterogeneous treatment effects using any supervised Speaker:: Dr. Juan Orduz Track: PyData: Machine
Professor Hima Lakkaraju presents some of the latest advancements in post hoc explanations for black-box machine
