In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
http://lineardigressions.com
Experiments and Messy, Tricky Causality
"People with a family history of heart disease are more likely to eat healthy foods, and have a high incidence of heart attacks." Did the healthy food cause the heart attacks? Probably not. But establishing causal links is extremely tricky, and extremely important to get right if you're trying to help students, test new medicines, or just optimize a website. In this episode, we'll unpack randomized experiments, like AB tests, and maybe you'll be smarter as a result. Will you be smarter BECAUSE of this episode? Well, tough to say for sure... Relevant link: http://tylervigen.com/spurious-correlations