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
发表于2024-07-06
统计学习基础(第2版)(英文) pdf epub mobi txt 电子书 下载 2024
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.
书名翻译有误。应该译为《统计学习精要》比较好,数学基础不好的可以对照着《统计学习导论》学习,从事机器学习理论研究的应该要看看《统计学习理论》这本著作。总的来说,如果时间充裕的话,还是必须要高屋建瓴,看一些深刻的书籍的。只有打好严谨扎实的基础,才能跟上机器学习领域的发展呐==
评分楼下有几位兄台对“基础”的要求未免太苛刻了,这是面向研究生的书籍,应该用评价GTM的标准来衡量它啊。 而且本书的门槛是本科那些知识学扎实就可以读了,做学问来说这难道还不够基础么?
评分很适合CS同学阅读
评分讨论班一直在讲这本书,难度对我来说挺高的,但是读透了就会有种醍醐灌顶的感觉,机器学习的必读书目之一吧。
评分哼,说好的基础呢!!!一点都不基础,看得我累死了,然后放弃了
中文翻译版大概是用google翻译翻的,然后排版一下,就出版了。所以中文翻译版中,每个单词翻译是对的,但一句话连起来却怎么也看不懂。最佳阅读方式是,看英文版,个别单词不认识的话,再看中文版对应的那个词。但如果英文版整个句子都不懂的话,那只有去借助baidu/google,并...
评分http://www-stat.stanford.edu/~hastie/local.ftp/Springer/ESLII_print3.pdf
评分[https://esl.hohoweiya.xyz/index.html] ==========================================================================================================================================================
评分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.
评分上半部看得更仔细些,相对来说收获也更多。书的前半部对各种回归说得很多,曾经仅仅了解这些的回归方法的大概思路,但是从本书中更能了解它们的统计意义、本质,有种豁然开朗的感觉:) 只是总的来说还是磕磕巴巴的看了一遍,还得继续仔细研读才好。希望能有更深刻的领悟,目的...
统计学习基础(第2版)(英文) pdf epub mobi txt 电子书 下载 2024