Why Mathematicians hate Statistics and Machine Learning
A Short Rant
Mathematicians hate statistics and machine learning because it works on problems mathematicians have no answer to. The whole backpropagation algorithm, i.e. deep learning is derived from linear regression in statistics and numerical optimization. It’s everything that is not pure mathematics, it’s not analytical, it’s numerical, it doesn’t give exact solution and often not globally optimized solutions, but it also gives answers to problems mathematicians can not solve analytically. It works with finite state machines (i.e. computers), in comparison to mathematicians infinite state machines that do not exist in the real world. That’s why mathematicians hate it. It’s not math, it’s computer science and machines that teach themselves, it’s loss of control, loss of comprehension, it’s engineering and it actually works and everything that is practical loses its pureness.
Mathematicians pursue math for its own beauty and we respect and love them for their groundwork. We are truly standing on the shoulders of giants.
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