An Introduction to Statistical Learning pdf epub mobi txt 电子书 下载 2024


An Introduction to Statistical Learning

简体网页||繁体网页
Gareth James
Springer
2013-8-12
426
USD 79.99
Hardcover
Springer Texts in Statistics
9781461471370

图书标签: 机器学习  统计学习  R  统计  数据分析  Statistics  统计学  machine_learning   


喜欢 An Introduction to Statistical Learning 的读者还喜欢




点击这里下载
    


想要找书就要到 小哈图书下载中心
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

发表于2024-11-21

An Introduction to Statistical Learning epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

An Introduction to Statistical Learning epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

An Introduction to Statistical Learning pdf epub mobi txt 电子书 下载 2024



图书描述

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 下载 mobi epub pdf txt 电子书

著者简介

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.


图书目录


An Introduction to Statistical Learning pdf epub mobi txt 电子书 下载
想要找书就要到 小哈图书下载中心
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

用户评价

评分

果然是element of statistical learning的R语言简明版。或者看成ESL的导读也行。

评分

相比PRML确实是入门级的,配合网上的课件和视频,讲得很清楚,主要针对supervised machine learning

评分

终于读完了。没有用 R ,还是偷懒用了 Python 的 scikit learn,基本差不多。

评分

applied regression analysis课的textbook,结果prof就直接拿着stanford learning上两个作者公开课的 slide直接用了。。挺适合自学的

评分

简明清晰,对于常用的方法基本都有涉猎。对读者的知识背景没太多要求,所以也很难深入。差不多是当成复习+加深印象。本来是想读elements那本,可是线性代数忘光了,看着矩阵证明真想以头抢地T-T

读后感

评分

Notes of Introduction to Statistical Learning ===================================== ## Statistical Learning - basic concepts - two main reasons to estimate f: prediction and inference - trade-off: complex models may be good for accurate prediction, but it m...

评分

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。  

评分

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/  

评分

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/  

评分

Notes of Introduction to Statistical Learning ===================================== ## Statistical Learning - basic concepts - two main reasons to estimate f: prediction and inference - trade-off: complex models may be good for accurate prediction, but it m...

类似图书 点击查看全场最低价

An Introduction to Statistical Learning pdf epub mobi txt 电子书 下载 2024


分享链接









相关图书




本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

友情链接

© 2024 qciss.net All Rights Reserved. 小哈图书下载中心 版权所有