Hadoop大数据挖掘从入门到进阶实战(视频教学版)
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统计学习基础——数据挖掘、推理与预测(中文版)The Elements of Statistical Learning 评分:
作者均为斯坦福大学的统计学教授,是统计学的权威人物。本书内容广泛,包括有监督学习、无监督学习等等,是从事数据挖掘和机器学习研究的经典教材。 本书为统计学习基础第一版的中文译版。
上传时间:2017-09 大小:46.53MB
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The Elements of Statistical Learning
2023-04-23The Elements of Statistical Learning
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Learning from data
2012-12-22这是一本跟机器学习和数据挖掘相关的基础书,上面讲述了很多基础概念,已经应用。
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The Elements of Statistical Learning 答案
2017-07-17统计学习精要 答案
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Elements of Statistical Learning高清pdf
2018-02-02Elements of Statistical Learning高清pdf,Elements of Statistical Learning高清pdf,Elements of Statistical Learning高清pdf,Elements of Statistical Learning高清pdf
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统计学习基础-数据挖掘、推理与预测.2004
2018-06-12统计学习基础-数据挖掘、推理与预测.2004 电子工业出版社
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统计学习基础 数据挖掘、推理与预测.zip
2018-02-07统计学习基础 数据挖掘、推理与预测.zip 统计学习基础 数据挖掘、推理与预测.zip
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2012-03-29数据挖掘经典教材,鲜有的中文版翻译教材。学习数据挖掘的必备资料
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The Elements of Statistical Learning data Mining,Inference,and Prediction
2018-04-27统计学习数据挖掘推理和预测的要素 This is page v Printer: Opaque this To our parents: Valerie and Patrick Hastie Vera and Sami Tibshirani Florence and Harry Friedman and to our families: Samantha, ...
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The Elements of Statistical Learning:Travor Hastie(2ed) 英文版 2018第2版+习题解
2018-05-12统计学习基础-数据挖掘、推理与预测 The Elements of Statistical Learning:Data Mining, Inference, and Prediction(2ed) 2018 第2版+习题答案:统计学习基础-数据挖掘、推理与预测
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The Elements of Statistical Learning(高清原版)
2017-02-14ESL第二版,机器学习的经典理论书籍。高清原版,原汁原味。
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统计学习基础
2013-12-12数据挖掘,推理于预测 中文版 trevor hastie robert tibshirani jerme friedman
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The Elements of Statistical Learning ESLII
2017-09-10The Elements of Statistical Learning ESLII 2017.09.10从Stanford官网上下载的https://web.stanford.edu/~hastie/Papers/ESLII.pdf 自己加了 书签目录 如有遗漏错误请多包涵
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The element of statistical learning
2018-01-27机器学习经典之作,机器学习高手必读的书,推荐给大家。
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统计学习基础 课后答案
2018-02-03The Elements of Statistical LearningThe Elements of Statistical LearningThe Elements of Statistical LearningThe Elements of Statistical Learning
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The Elements of Statistical Learning 3rd version
2010-05-24斯坦福统计系教材,Trevor Hastie,Robert Tibshirani,Jerome Friedman编写的统计学习基础,数据挖掘推理与预测第三版
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The Elements of Statistical Learning:Travor Hastie(2ed) 2018 中文+英文版+习题解
2018-05-12《统计学习基础-数据挖掘、推理与预测》 The Elements of Statistical Learning:Data Mining, Inference, and Prediction:Travor Hastie(2ed) 2018 中文+英文合并版第2版+习题答案
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The Element of Statistical Learnging (统计学习基础:数据挖掘、推理与预测)
2015-06-09The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of ...
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大数据学习经典教材:统计学习基础 数据挖掘、推理与预测 中英文及课后习题答案
2019-04-10该资源为经典的大数据学习教材,当然大数据分析核心为统计内容,这个也是统计学中经典教材,值得大家下载学习! 资源中包含:1)英文版本为 第二版 ; 2)中文为第一版教材的翻译; 3)习题答案对应的是英文版本,...
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An Introduction to Statistical Learning with Applications in R
2018-03-20一本机器学习入门的好书,同时伴有大量R语言的例子,是用R语言敲开机器学习大门的不二书选!Springer出版的经典书籍,很接地气。
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Elements of Statistical Learning
2016-09-23Elements of Statistical Learning_ data mining, inference, and prediction. 2nd Edition.大师之作,统计学习领域最好的书了,就是有点难,入门不那么容易,如果学了线性模型的话还好一点
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The Elements of Statistical Learning.pdf
2019-05-13The Elements of Statistic Learning Theory -- Data Mining, Inference, and Prediction 2nd Version This book is our attempt to bring together many of the important new ideas in learning, and explain them in a statistical framework. While some mathematical details are needed, we emphasize the methods and their conceptual underpinnings rather than their theoretical properties. As a result, we hope that this book will appeal not just to statisticians but also to researchers and practitioners in a wide variety of fields.
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The_Elements_of_Statistical_Learning(统计学习精要)
2018-04-21豆瓣评分9.5的好书,斯坦福大学课程用书,有需要的大神们拿去看看吧
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统计学习基础 数据挖掘,推理,和预测 Trevor Hastie等
2018-01-31统计学习基础 附英文版(2013)和中文翻译版 。。。。。。。。。。。。。。
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The elements of statistical learning by Travor Hastie
2018-05-06The elements of statistical learning The elements of statistical learning The elements of statistical learning
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learning from data (Volume 2)
2017-01-11learning from data 6-9章
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(ESL高清彩色英文+中文)The Elements of Statistical Learning
2018-01-02来自于斯坦福大学统计学院Hastie教授的经典教材,(ESL高清彩色英文+中文)The Elements of Statistical Learning。内容广泛,包括有监督学习、无监督学习等等,是从事数据挖掘和机器学习研究的经典教材。