Data Analysis with Open Source Tools pdf epub mobi txt 電子書 下載2026
- 數據分析
- 數據挖掘
- O'Reilly
- Data-Analysis
- Python
- opensource
- data
- 計算機
- 數據分析
- 開源工具
- Python
- R
- 數據科學
- 統計分析
- 數據可視化
- 數據挖掘
- 機器學習
- 商業分析
具體描述
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.
作者簡介
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 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.
目錄資訊
讀後感
我統計學沒學紮實的還有點搞不懂裏麵的說的那些理論，上網搜索英文的的更是很難搞懂瞭，加上裏麵的裏麵例子有沒有提供數據來源，沒有告訴圖形是怎麼做齣來的，所以書的內容和標題有點南轅北轍啊。 但是作者提供瞭一種係統的思路的做數據分析，這可以提供一些思路去學習更細節的...
評分書的理論性較強 至少對我我這種不是學統計和學數學齣身的人來講 很多分析和圖例沒有給齣實際的操作過程。 不是很推薦。 感覺作者很專業，講的也很係統，但是覺得並不是一個入門級的書 要我寫多少字纔可以啊？
評分我統計學沒學紮實的還有點搞不懂裏麵的說的那些理論，上網搜索英文的的更是很難搞懂瞭，加上裏麵的裏麵例子有沒有提供數據來源，沒有告訴圖形是怎麼做齣來的，所以書的內容和標題有點南轅北轍啊。 但是作者提供瞭一種係統的思路的做數據分析，這可以提供一些思路去學習更細節的...
評分Don’t let “data” get in the way of ethical decisions. The most important things in life can’t be measured. It is a fallacy to believe that, just because something can’t be measured, it doesn’t matter or doesn’t even exist. And a pretty tragic fallacy...
評分書的理論性較強 至少對我我這種不是學統計和學數學齣身的人來講 很多分析和圖例沒有給齣實際的操作過程。 不是很推薦。 感覺作者很專業，講的也很係統，但是覺得並不是一個入門級的書 要我寫多少字纔可以啊？
用戶評價
:無
评分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.
评分:無
评分相當好的統計入門書，適應目前數據科學的變化。缺點是沒有數據源，例子沒法操作，效果很打摺扣啊
评分some names
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