Join data scientists from the IBM Data Science and AI Elite team as they present their approach to building a reusable framework for determining the effectiveness of an advertisement campaign. They will go over the assumptions tested for the test and control populations, the intuition behind selecting additional controls, and the efficacy of several different state-of-the-art forecasting and causal inference techniques that can be used to determine a stable measure for lift.
Tune in to this on demand recording to hear @Ainesh Pandey, @Maleeha Koul, @Bobby Kelsey and @Gabriel Gilling talk about Causal Inference for Ad Campaigns.
Please include any of your questions below and
you can watch the on demand recording here. Thanks,
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JORGE CASTANON
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