alt Hacker NewsCan you give an analogous example for data science? I confess ignorance here, and always took the term at face value. Is the issue that "data science" tries to be agnostic about the source of the data? (I'm not claiming that that is true, just guessing)
Sure. There are many examples of data scientists attempting to use complex Machine Learning and Deep Learning models to predict machine (bearings, gears, etc.) failures from vibration data, where a simple Fourier Transform (FFT) provides a lot more insight and predictive powers about the same problem.
However, spectrum analysis is not something that data scientists learn at school, yet every mechanical/electronics engineer working in the field knows about it. So, without an expertise in a particular field, data scientists often reach for a big hammer, when more specialized tools exist and are known to the experts in the field.