> Machine learning is genuinely over-hyped. It’s very often statistics masquerading as something more grandiose. Its most ardent supporters are incredibly annoy

> Machine learning is genuinely over-hyped. It’s very often statistics masquerading as something more grandiose. Its most ardent supporters are incredibly annoying, easily hated techbros This sort of fashionable disparagement of a group of people to signal that you’re not part of the “bad group of tech bro’s” is so trashy. Why are these random people you easily hate? Who are they? Why take glee in shared hatred? I’ve worked as a sr DS at FAANG for 4 years. I’ve recently worked through Casella Berger, because I wasn’t comfortable being one of those DS who didn’t know math stats. But before I did work through it, I worked with people from PhD stat programs who were so ineffective. Despite knowing so much more stats than me, they would freeze up and fail everytime they had to deal with any sort of software system or IDE. It was so weird to me that my ability to use a regression, even before I knew the theory, was more valuable than their ability to use a regression to its full power, simply because I could fight the intense battle to take that idea and put it into reliable production code. But generally I hate hate this war between DS and stats. It’s so stupid. Maybe not their first year, but eventually any DS who wants to be a master of their craft ought to learn math/theoretical stats. And some don’t want to be a master of their craft, and instead want to go into management or whatever, and that’s fine.