Causal machine learning to power data driven decisions [Urban Company]
An episode of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Causal machine learning to power data driven decisions [Urban Company]" was published on October 21, 2024 and runs 11 minutes.
October 21, 2024 ·11m · Snacks Weekly on Data Science
Summary
In this episode, we will explore Urban Company’s business needs and the role of causal machine learning in addressing them. We will delve into three key models—S-learner, T-learner, and X-learner—and used a simple example to illustrate how each one works. These models provide valuable insights by offering more accurate estimates of cause-and-effect relationships, helping companies make better data-driven decisions. For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/uc-engineering/how-urban-company-leverages-causal-inference-to-power-data-driven-decisions-a339cfcaa0e2
Episode Description
In this episode, we will explore Urban Company’s business needs and the role of causal machine learning in addressing them. We will delve into three key models—S-learner, T-learner, and X-learner—and used a simple example to illustrate how each one works. These models provide valuable insights by offering more accurate estimates of cause-and-effect relationships, helping companies make better data-driven decisions.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/uc-engineering/how-urban-company-leverages-causal-inference-to-power-data-driven-decisions-a339cfcaa0e2
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