圖書標籤: 機器學習 統計學習 統計學 數據挖掘 數學 統計 數據分析 statistics
发表于2024-06-19
統計學習基礎(第2版)(英文) pdf epub mobi txt 電子書 下載 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 mining tools including CART, MARS, projection pursuit and gradient boosting.
很適閤CS同學閱讀
評分好書就得品著讀
評分哼,說好的基礎呢!!!一點都不基礎,看得我纍死瞭,然後放棄瞭
評分名氣很大,內容很散,不如直接讀論文
評分我來說下,本書麵嚮的讀者對象為精通概率統計的人,即你差不多是個統計學博士就可以瞭,不然很多結論直接就來,也不推導。本書重概率統計直覺,我覺得此書很尷尬,厲害的人覺得就是個提綱,水平差的人又覺得太跳躍。最後,統計機器學習入門慎看此書。
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.
評分对于新手来说,这本书和PRML比起来差太远,新手强烈建议去读PRML,接下来再看这本书。。我就举个最简单的例子吧,这本书的第二章overview of supervised learning和PRML的introduction差太远了。。。。读这本书的overview如果读者没有基础几乎不知所云。。但是PRML通过一个例子...
評分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.
評分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...
評分统计学习的经典教材,数学难度适中,英文难度较低,看了其中有监督学习部分,无监督学习部分没怎么看,算法比较经典,但是也比较老。
統計學習基礎(第2版)(英文) pdf epub mobi txt 電子書 下載 2024