The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, Edition 2

· ·
· Springer Science & Business Media
17 reviews
Ebook
745
Pages

About this ebook

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.

This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics...

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Ratings and reviews

17 reviews
behrouz yaghmaeian
September 7, 2026
مادر هرچی ایرانیه سگ گایید تنظیمات گوشی منو عوض نکن بیناموس فیس بوک و اینستاگرام من کو من اجازه ندادم به‌گوگل به اس ام اس و کالم دسترسی داشته باشه خونه زندگی من کو کس مادرا من دارو نمیخوام‌خونه میخوام پول میخوام کارای کیریتون با صاحب کارای کیریتون و نمیخوام مادر سگ اگه آدم دوست و خونواده و وطن داشته باشه تو خیابون نمیخوابه بهش دارو بدن بیناموس تو خیابون دوای کیر و خایه بهش نمیدن موقع رانندگی بهش دارو نمیدن آدم دوست و خونواده دار یه شب بیرون میخوابه نه یه سال یه کار عوض میکنه نه صدتا
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Sahil Khan
December 5, 2017
5k for a book which costs 500rupees nearly in the market bc pagal bana rhe h ye mc ke bache
8 people found this review helpful
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mayank kanela
December 28, 2018
what's worst this book or the price
2 people found this review helpful
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About the author

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical m...

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