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Correct me if I’m wrong but isn’t this fundamentally true for any team working on any project?

No, there’s more ambiguity in machine learning projects. When you develop a website, aside from the design, it works or it doesn’t. Whether some kind of ml product can work at all is often team dependent

> When you develop a website, aside from the design, it works or it doesn’t.

This really isn’t true. There are websites and web apps that “work” but are really suboptimal from a performance and UX perspective. It’s possible to do this right, but it’s much easier to do a poor job. You end up with something that kind of works and may even be profitable but which is a boat anchor around your company compared to a better approach.

Yeah not sure what they were getting at. There are also a lot of people who fundamentally don't know good software engineering practices and cause a ton of tech debt

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