统计学习基础(第2版)(英文) 在线电子书 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2025-03-04
统计学习基础(第2版)(英文) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
其实这本书有个姐妹篇,叫 An Introduction to Statistical Learning: with Applications in R ,是Hastie 和Tibshirani 和另外两个作者合写的,更加适合入门,是非常经典的教材。
评分一直觉得这个学科大概不存在入门教材这个概念。
评分本书叫基础,其实是统计学习精要,数学基础比较差的连符号都费劲,虽然满满的文字解析,有另外一本《统计学习导论》,书是2010年的,模型都比较老和经典了,当年火热话题还是数据挖掘,很多模型都是KDD比赛的,后期可以继续跟踪学习Hastie教授们在伯克利和斯坦福的课程,另外推荐《稀疏统计学习应用》Tibshirani儿子的凸优化课程
评分A comprehensive book concerning ML. I recommend it to advanced readers equipped with extensive solid mathematical foundation, especially certain core courses of statistics(e.g., multivariate statistical analysis), matrix theory, optimization theory and numerical analysis.
评分统计学习,模式识别领域,最爱的一本书。推导过程清晰,还有各种感悟和总结,很好。但是讲的内容比机器学习少了一些,好像是没有hmm,crf的。
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.
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...
评分[https://web.stanford.edu/~hastie/ElemStatLearn/] ==========================================================================================================================================================
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.
评分统计学习基础(第2版)(英文) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025