出版社: O'Reilly Media
副标题: A hands-on guide for programmers and data scientists
出版年: 2010-11-25
页数: 540
定价: USD 39.99
装帧: Paperback
ISBN: 9780596802356
内容简介 · · · · · ·
Description
Real World Data Analysis shows you how you think about data and the results you want to achieve with it. Author Philipp Janert teaches you how to effectively approach data analysis problems, and how to extract all the available information from your data. Many people can apply a data analysis formula. This book shows you how to look at the results and know whether t...
Description
Real World Data Analysis shows you how you think about data and the results you want to achieve with it. Author Philipp Janert teaches you how to effectively approach data analysis problems, and how to extract all the available information from your data. Many people can apply a data analysis formula. This book shows you how to look at the results and know whether they're meaningful.
These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless.
In Real World Data Analysis, author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful.
作者简介 · · · · · ·
Philipp K. Janert
After previous careers in physics and software development, Philipp K. Janert currently provides consulting services for data analysis, algorithm development, and mathematical modeling. He has worked for small start-ups and in large corporate environments, both in the U.S. and overseas. He prefers simple solutions that work to complicated ones that don't, and ...
Philipp K. Janert
After previous careers in physics and software development, Philipp K. Janert currently provides consulting services for data analysis, algorithm development, and mathematical modeling. He has worked for small start-ups and in large corporate environments, both in the U.S. and overseas. He prefers simple solutions that work to complicated ones that don't, and thinks that purpose is more important than process. Philipp is the author of "Gnuplot in Action - Understanding Data with Graphs" (Manning Publications), and has written for the O'Reilly Network, IBM developerWorks, and IEEE Software. He is named inventor on a handful of patents, and is an occasional contributor to CPAN. He holds a Ph.D. in theoretical physics from the University of Washington. Visit his company website at www.principal-value.com.
原文摘录 · · · · · ·
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Data Analysis with Open Source Tools的书评 · · · · · · ( 全部 8 条 )
不推荐没有电子版的同学买这本书
数据最伟大的地方是承认自己的不足
理论有点晦涩,细节不明朗
> 更多书评 8篇
这本书的其他版本 · · · · · · ( 全部3 )
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清华大学出版社 (2012)7.5分 78人读过
-
东南大学出版社 (2011)6.6分 14人读过
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订阅关于Data Analysis with Open Source Tools的评论:
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0 有用 yy 2015-10-13 05:14:48
比较浅显,入门不错
0 有用 洋葱 2012-07-19 13:17:11
这本书都是在介绍经验,虽然有时候有些偏激但总体来说真的不错。适合有统计基础的人看,不适合新手。
0 有用 a锟斤拷 2014-06-16 00:17:06
其实我觉得70%都是在讲概率和应用数学……我是走错片场了么?(Update: 我的确走错片场了,看完了发现它想要告诉我全部细节,结果就是神马都是重点,抓狂了……)
0 有用 已注销 2012-12-24 17:39:44
Author keeps placing emphasis on insights instead of numbers while working with data. The ultimate goal of data analysis is to understand how the system works, not to show off how proficient you are a... Author keeps placing emphasis on insights instead of numbers while working with data. The ultimate goal of data analysis is to understand how the system works, not to show off how proficient you are at Math. That's the true spirit of professionalism. Some annoying jargon are well explained in a plain manner. Little sections on R. (展开)
0 有用 Inari 2017-09-07 09:36:25
比较high-level的入门书,很好懂,理论以“都介绍一点”为主,每章也列出可以用来做这章里讲到的东西的python和R的libraries。缺点是实战例子不多。
0 有用 Inari 2017-09-07 09:36:25
比较high-level的入门书,很好懂,理论以“都介绍一点”为主,每章也列出可以用来做这章里讲到的东西的python和R的libraries。缺点是实战例子不多。
0 有用 yy 2015-10-13 05:14:48
比较浅显,入门不错
0 有用 all the fish 2014-10-19 21:39:32
some names
1 有用 Lianqiuzhuang 2014-10-01 17:26:24
这本书是好书,在读。
0 有用 a锟斤拷 2014-06-16 00:17:06
其实我觉得70%都是在讲概率和应用数学……我是走错片场了么?(Update: 我的确走错片场了,看完了发现它想要告诉我全部细节,结果就是神马都是重点,抓狂了……)