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This question already has an answer here:

I am taking a class in statistics which uses The Elements of Statistical Learning: Data Mining, Inference, and Prediction as a textbook. However, I find this book very terse.

Could anyone please recommend a book which has similar topic coverage but contains more examples and detailed explanations and does not omit mathematical derivations.

P.S. I found Introduction to Statistical Learning as a good introductory level book. It was easy to read and provided a good overview of ML methods. However, I would like to see more rigorous explanations and mathematical derivations of the methods.

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marked as duplicate by Xi'an, kjetil b halvorsen, usεr11852, Michael Chernick, Peter Flom Mar 12 '18 at 12:15

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

  • $\begingroup$ Is your question really different from this, this or this? Or is it a duplicate of one of those (or yet another one)? $\endgroup$ – Richard Hardy Mar 11 '18 at 16:08
  • $\begingroup$ You can checkout Christopher Bishop's ML book $\endgroup$ – Umang Gupta Mar 11 '18 at 21:09