An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

☆☆☆☆☆
簡體網頁||繁體網頁

Gareth James 作者

Springer

譯者

2013-8-12 出版日期

426 頁數

USD 79.99 價格

Hardcover

Springer Texts in Statistics 叢書系列

9781461471370 圖書編碼

An Introduction to Statistical Learning 在線電子書圖書標籤: 機器學習統計學習 R 統計數據分析 Statistics 統計學 machine_learning

喜歡 An Introduction to Statistical Learning 在線電子書的讀者還喜歡

下載鏈接在頁面底部

點擊這裡下載

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製鏈接

想要找書就要到圖書目錄大全

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

發表於2024-05-20

An Introduction to Statistical Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

An Introduction to Statistical Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

An Introduction to Statistical Learning 在線電子書用戶評價

評分☆☆☆☆☆

ISLR在機器學習界大名鼎鼎，個人認為是最適閤初級學習者的著作。雖說是ESLR的簡化版，但是精華該有的都有，全書脈絡清晰無比，從Bias-Variance Tradeoff和No Free Lunch兩條基本思想展開，作者的深厚統計學背景使得LogReg、PCA和LDA這些概念主題都能有一個清楚的闡釋。以理論為主，但是也有lab，方便讀者動手一窺究竟。這本書甚至激起瞭我的一點學習數學的心情，接下來打算用Strang的那本綫代和Casella的統計推斷好好鞏固基礎，屆時再迴味想必又能有新的體會。Logistic和SVM等部分讀起來一氣嗬成，真可謂“清水齣芙蓉”，而對模型的討論始終堅持問題導嚮，有一些哲學思維。唯一的遺憾就是預期讀者的數學水平掣肘瞭內容的發揮。

評分☆☆☆☆☆

statistical learning的入門級教材，不需要很多的數學，但涵蓋瞭許多topic，而且每章結尾都有R的實例，不過這本書還是過於基礎，unsupervised learning隻有一章，而且居然跳過瞭neural networks。

評分☆☆☆☆☆

寫的的確非常簡明易懂。讀過以後給瞭我“已經懂瞭ML”的幻覺。還是老老實實讀Elements那本去吧

評分☆☆☆☆☆

相比PRML確實是入門級的，配閤網上的課件和視頻，講得很清楚，主要針對supervised machine learning

評分☆☆☆☆☆

非常好的教材！寫得極為清晰，例子也很好。這是迄今為止第一本讓我有愉悅體驗的統計類教材。

An Introduction to Statistical Learning 在線電子書著者簡介

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 在線電子書著者簡介

An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

An Introduction to Statistical Learning 在線電子書圖書描述

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 在線電子書下載 mobi epub pdf txt 在線電子書下載

想要找書就要到圖書目錄大全

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

An Introduction to Statistical Learning 在線電子書讀後感

評分☆☆☆☆☆

业界良心，为学渣精心打造……深入浅出，甚至连矩阵怎么算怕你不会都告诉你，而且尽量避免使用矩阵之类的纯数学的表达，比较适合只学习应用的同学，不用关心太多内在证明。例子给的也很足，非常实际。R的例子讲的也很实用。总之非常适合自学。

評分☆☆☆☆☆

其实我最大的感触是书中总是说某某内容 “ is beyond the scope of this book” ，真是难为几位作者了。 --------------------------- 高清无码图见相册： https://www.douban.com/photos/photo/2462258822/

評分☆☆☆☆☆

很适合入门，几乎没有什么数学，英文读起来也很简单，一些词汇不懂可以对照中文版。中文版叫：统计学习导论：基于 R 应用。适合刚刚接触机器学习的同学阅读。和适合我这种菜鸟阅读学习，下载了 N 本机器学习的书了，这本是唯一能读的下去的。初学主要是先了解概念，对机器学习...

評分☆☆☆☆☆

http://www-bcf.usc.edu/~gareth/ISL/ ==========================================================================================================================================================

類似圖書點擊查看全場最低價

An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024