Using a Linear Regression for Analytics

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When it's something as simple as a needle, any full can grasp that there are a few things we can do with this needle. When it is something a little more complicated like a linear regression, and you've never really thought of stepped back and been like, what is this thing really? What are all its possibilities? Then you might miss opportunities to use it because it's not classically associated with some kind of application. And when you're doing end-to-end machine learning, well, then you're going to need machine learning with statistics and analytics also.

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.