How to Engage on Social Media

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

DJ Rich has a YouTube channel, which is called mutual information. People can check out your videos there and I've been watching those as we prepared for the show. So that's good. And is there other ways that you engage on social media? There are other places people could follow your content or contact you that are easy. The only other way is my Twitter, I'm occasionally on there. It's just at Dwayne J. Rich,. Yeah, yeah. Well, who knows, Twitter may not be around even there. By the time this week, there's a lot of this, they're not really going. They're notreally going. But it's sort of a weird

What causes us to keep returning to the topic of causal inference on this show? DAG if we know! Whether or not you're familiar with directed acyclic graphs (or… DAGs) in the context of causal inference, this episode is likely for you! DJ Rich, a data scientist at Lyft, joined us to discuss causality — why it matters, why it's tricky, and what happens when you tackle causally modelling the complexity of a large-scale, two-sided market! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.