Machine Learning and Causal Inference for Advertising Effectiveness
published: Dec. 1, 2017, recorded: August 2017, views: 1483
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
This talk will review several recent methodological approaches to measuring the effectiveness of treatments, such as advertising campaigns. We will discuss methods for dealing with non-random assignment of advertisements to users, as well as methods for estimating optimal policies for assigning advertising to users.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !