Timothy Stanley: I went through a comical that has been public in a very small niche. He says he's never been focused on job titles, just doing what's useful and figure it out. But the person who actually does not care in their heart of hearts, whether it is a linear regression or not? That may be you,. again, that maybe the person themselves, the analyst, the data scientist, or maybe somebody else. Not even what needs to be done. And then Tim, you go, you know what? The thing that's going to do this is a linear regressions.
Some would say that, given the breadth and depth of data that is available to businesses these days, a surefire path to business value is to load up a department with smart data scientists, task them with developing a solid machine learning strategy, and then execute that strategy. The people who've said that might take issue with this episode. Cassie Kozyrkov joined the show to discuss decision-making: what it is, how we often frame decisions too narrowly, and the different roles data can play to support the process. And much, much more! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.