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The Elements of Statistical Learning

Hastie, Tibshirani, Friedman

30 people recommended it in 17 threads, 2009–2023.

1 commenter pushed back on it — worth reading the threads.

What people on Hacker News said

olooney
The Elements of Statistical Learning. Probably the single most respected book in machine learning. Exhaustive and essential.

on HN, 2018

j_s
First, read fucking Hastie, Tibshirani, and whoever. Chapters 1-4 and 7. If you don't understand it, keep reading it until you do.

on HN, 2017

tom_b
Although it isn't specifically about economics or markets, you should at least read it.

on HN, 2016

hamilton
From a technical point of view, The Elements of Statistical Learning, by Tibshirani, Friedman, and Hastie. Far and away the most illuminating demonstration that so many ML / AI techniques have a long-standing statistical foundation, and, essentially, everything boils down to the linear model.

on HN, 2009

kgwgk
But given that they distribute the PDF for free it's worth checking out.

on HN, 2018

kevinskii
I think both explain statistical ML clearly at just the right level of detail.

on HN, 2016

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