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Data Skeptic podcast is currently doing a series on K-means applications (similar to KNN). Would recommend it for anyone exploring the topic: https://dataskeptic.com/episodes/k-mea…

You can use causation to make a decision… and you can use correlation to make a decision. Each with different implications of course - but depending on the context both can be used…

> Personally, I'm not quite positive that I buy that causation is that hard to establish in many cases. Do you mean it's not hard from an analytical point of view / from a practica…

Unfortunately this pressure - especially in research communities - has led to a lot of p-hacking. https://www.pnas.org/content/117/24/13386 It's similar in a business context - the…

At the end of the day, a correlation analysis will never replace a causal study. So really un-intuitive relationships would likely have never been uncovered with this approach. But…

Right - The point about human intuition is an important one. It's a key part of the approach that the blog talks about. When we start from intuition, we significantly improve our h…

Yes right - and we can actually put that information to some use in some practical way. At least that's the goal.

Interesting idea - depends on how you look at performance, right? There’s engineering overhead of setting up a MAB and it likely requires the skill set of a data scientist or ML en…