Remember: first you build the product, then you get the users, then you get the data, then you build the machine learning shit
well, you could also crawl the data, build the ML shit, build the product, get the users
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can't think of any successful company doing that except Google and a lot of acqui hired ones
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Just from the past few weeks: Prisma. Many others...
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I guess this implies that data sets matter, skills/experience matters, proprietary technology is overrated
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I think the most important part is figuring out what problem to solve and packaging your solution well.
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