Mining of Massive Datasets pdf epub mobi txt 电子书 下载 2024


Mining of Massive Datasets

简体网页||繁体网页
Jure Leskovec
Cambridge University Press
2014-12-29
476
USD 75.99
Hardcover
9781107077232

图书标签: 数据挖掘  计算机  机器学习  Data  Coursera  CS  数据分析  软件工程   


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发表于2024-12-23

Mining of Massive Datasets epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Mining of Massive Datasets epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Mining of Massive Datasets pdf epub mobi txt 电子书 下载 2024



图书描述

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets and clustering. This second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction.

Mining of Massive Datasets 下载 mobi epub pdf txt 电子书

著者简介

Jure Leskovec is Assistant Professor of Computer Science at Stanford University. His research focuses on mining large social and information networks. Problems he investigates are motivated by large scale data, the Web and on-line media. This research has won several awards including a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, Okawa Foundation Fellowship, and numerous best paper awards. His research has also been featured in popular press outlets such as the New York Times, the Wall Street Journal, the Washington Post, MIT Technology Review, NBC, BBC, CBC and Wired. Leskovec has also authored the Stanford Network Analysis Platform (SNAP, http://snap.stanford.edu), a general purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of nodes and billions of edges. You can follow him on Twitter at @jure.


图书目录


Mining of Massive Datasets pdf epub mobi txt 电子书 下载
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用户评价

评分

bug非常之多, 还找不到地方提交, 读起来极度痛苦, 前看后忘, 也许里面的算法本质上就是这样, bottom line至少近15年最新的论文成果被这么串讲一下, 本科生也能看懂

评分

下学期课程参考textbook,听说professor还不错,打算好好学一下这门课

评分

下学期课程参考textbook,听说professor还不错,打算好好学一下这门课

评分

下学期课程参考textbook,听说professor还不错,打算好好学一下这门课

评分

勉强一刷吧。到时配合斯坦福的课再过一遍~

读后感

评分

只看了两章,所有真心不好打分。这其实是本数学书,而且是一本入门书。这本书的目标读者不是工程师,而是读研或者读博的学生。如果你本身就有数据挖掘后者机器学习的背景,或者就是很喜欢数学,我还是很推荐这本书的,学习新东西总是很有趣的。  

评分

终于看完了这本书,读的比较粗,但是还是发现了很多的小错误,不知道是作者的错误还是译者的错误,总之给人不严谨不严肃的印象,知识还是比较容易理解的(虽然本人没记住多少。。汗。。),还是积累了不错的知识,天道酬勤!  

评分

麻烦支那猪以后翻译外文书籍,先找个稍微懂行的把书看一遍行吗! 鉴于中文翻译缩水不准的情况,本掉千辛万苦找来英文原版,一看到目录,本屌就硬了,尼玛作者太牛逼了! 最新补充一句,话说如果这本书的名字叫做类似《数据挖掘基础》的话,本屌绝壁不喷它。本来就是基础的基...  

评分

从总体安排来看,书的结构还是不错的。没看过英文的,但是中文版的行文真的不好,磕磕绊绊看了一半以后实在是没有兴趣看后面的了。 之前了解的pagerank看了以后了解了,之前不了解的adwords还是不了解,  

评分

看到开篇的两个例子,一个是地图聚类分析伦敦病毒问题,另一个是概率统计的例子。对本书还挺有期望。结果翻到第三章开始,这。。 尼玛整本书就是个目录啊。全书结构如下:知识点,摘要,奇葩的例子,习题。 然后另一个知识点,知识点,识点。。 如果为了平时聊天增加些谈资偶...  

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