统计学习基础(第2版)(英文) pdf epub mobi txt 电子书下载 2025

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出版者:世界图书出版公司北京公司

作者:Trevor Hastie

出品人:

页数:745

译者:

出版时间:2015-1-1

价格:102.80

装帧:平装

isbn号码:9787510084508

丛书系列:Springer Series in Statistics 影印版

图书标签:

机器学习
统计学习
统计学
数据挖掘
数学
统计
数据分析
statistics
统计学习
机器学习
数据分析
统计学
算法
概率论
数据科学
预测建模
监督学习
非监督学习

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具体描述

作者简介

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.

目录信息

读后感

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douban评论非要给出评价才能发表，这非常难决断说你好呢，翻译的乱七八糟说你不好呢，内容实在深刻说起翻译来，这可是把中文说的比外文还难懂 Jiawei Han的数据挖掘让范明译的污七八糟结果还让他来翻译这部经典，怀疑他在用google翻译最后还是忍不住去图书馆复印了原版...

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The methodology used in the books are fancy and attractive, yet in terms of rigorous proofs, sometimes the book skip steps and is difficult to follow. ~ Slightly sophisticated for undergraduate students, but in general is a very nice book.

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[https://web.stanford.edu/~hastie/ElemStatLearn/] ==========================================================================================================================================================