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The author is an academic, it is important to give proper credit for ideas within reason. Same reason I call F = ma the law of Newton and now the law of my high
by dawnofdusk 2y ago
The author is an academic, it is important to give proper credit for ideas within reason. Same reason I call F = ma the law of Newton and now the law of my high school physics teacher, even though I learned it first from him.
The reason I have this quibble is because the author says things like
>you should consider building formal (mathematical) bridges between results on overfitting in machine learning, and problems in economics, political science, management science, operations research, and elsewhere
If we are appropriately modest and acknowledge the fact that overfitting is well-studied by statisticians (although, obviously not in the context of deep neural networks), it seems kind of ridiculous to make statements like, economists and political scientists should consider using statistics?