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Randall Balestriero @randall_balestr · Apr 8, 2022
  • From Twitter

I strongly recommend it! In fact, I have recently went over some chapters again for our latest paper that heavily relies on understanding the bias/variance tradeoff and on the structural risk minimization technique

Book Jan 1, 2001
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by Robert Tibshirani and 2 others
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Recommended by 2 people
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Nassim Nicholas Taleb @nntaleb
  • From www.amazon.com

Very comprehensive, sufficiently technical to get most of the plumbing behind machine learning. Very useful as a reference book (actually, there is no other complete reference book).

The authors are the real thing (Tibshirani is the one behind the LASSO regularization technique).

Uses some mathematical statistics without the burdens of measure theory and avoids the obvious but complicated proofs.

I own two copies of this edition, one for the office, one for my house, and the authors generously provide the PDF for travelers like me.

Book Jan 1, 2001
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by Robert Tibshirani and 2 others
Post Add to Collection Mark as Completed
Recommended by 2 people
2 mentions
Share on Twitter Repost
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