Welcome to today's episode where we dive into causality. In ML most of the time we are looking for patterns, simple relationships. We care about modeling a distribution. We want to dive into the world of causality, which tries to explain how x causes changes in y and how we can use that in the real world. The big difference is that the goal is to change the distribution of our outcome. So let’s dive right in.

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