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by Scea91
2966 days ago
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You would be surprised how the devil always emerges in the details when you move to real applications from academic exercises and datasets. I definitely use a lot of statistics daily. I do not need to compute integrals by hand or construct formal proofs, but a lot of intuition is necessary. Statistics is very tricky by the way. It is so easy to have incorrect assumptions and totally misapply the methods. Also another problem with ML in general is that if you make an error you very often do not notice it. The methods will usually work a bit worse but they will still kinda work. Just yesterday I discovered a tricky feedback loop that corrupted my data for several weeks. |
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I think this why HR hire computer engineers instead of statisticians when it comes to ML.