An Introduction to Statistical Learning 2024 pdf epub mobi 電子書下載

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An Introduction to Statistical Learning pdf epub mobi 著者簡介

Gareth James is a professor of data sciences and operations at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.

Daniela Witten is an associate professor of statistics and biostatistics at the University of Washington. Her research focuses largely on statistical machine learning in the high-dimensional setting, with an emphasis on unsupervised learning.

Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning. 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.

An Introduction to Statistical Learning pdf epub mobi 圖書描述

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

An Introduction to Statistical Learning 2024 pdf epub mobi 電子書下載

An Introduction to Statistical Learning pdf epub mobi 圖書目錄

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發表於2024-05-17

An Introduction to Statistical Learning 2024 pdf epub mobi 電子書下載

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1. expected test MSE use：to assess the accuracy of model predictions. obtain: repeatedly estimate f using a large number of training sets and test each at x0. decompose: into 3 parts -- variance, bias and irreducible error. note: the meaning of variance an...

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這本書讀起來不費勁，弱化瞭數學推導過程，注重思維的直觀理解和啓發。讀起來很暢快，個人感覺第三章綫性迴歸寫的很好，即使是很簡單的綫性模型，作者提齣的幾個問題和細細的解釋這些問題對人很有啓發性，邏輯梳理得很好，也易懂。(不過有點可惜的是翻譯版本確實不是太好，有些...

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業界良心，為學渣精心打造……深入淺齣，甚至連矩陣怎麼算怕你不會都告訴你，而且盡量避免使用矩陣之類的純數學的錶達，比較適閤隻學習應用的同學，不用關心太多內在證明。例子給的也很足，非常實際。R的例子講的也很實用。總之非常適閤自學。

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出版者:Springer

作者:Gareth James

出品人:

頁數:426

譯者:

出版時間:2013-8-12

價格:USD 79.99