反馈文件质量
lgli/D:\!genesis\library.nu\be\_16052.be8d4a2bb5e4b92454b0949e9e1da51c.pdf
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis) 🔍
Wendy L. Martinez; Angel R. Martinez; Jeffrey Solka; Angel Martinez CRC Press LLC, 1, PS, 2004
英语 [en] · PDF · 9.4MB · 2004 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
exploratory Data Analysis (eda) Was Conceived At A Time When Computers Were Not Widely Used, And Thus Computational Ability Was Rather Limited. As Computational Sophistication Has Increased, Eda Has Become An Even More Powerful Process For Visualizing And Summarizing Data Before Making Model Assumptions To Generate Hypotheses, Encompassing Larger And More Complex Data Sets. There Are Many Resources For Those Interested In The Theory Of Eda, But This Is The First Book To Use Matlab To Illustrate The Computational Aspects Of This Discipline. exploratory Data Analysis With Matlab Presents The Methods Of Eda From A Computational Perspective. The Authors Extensively Use Matlab Code And Algorithm Descriptions To Provide State-of-the-art Techniques For Finding Patterns And Structure In Data. Addressing Theory, They Also Incorporate Many Annotated References To Direct Readers To The More Theoretical Aspects Of The Methods. The Book Presents An Approach Using The Basic Functions From Matlab And The Matlab Statistics Toolbox, In Order To Be More Accessible And Enduring. It Also Contains Pseudo-code To Enable Users Of Other Software Packages To Implement The Algorithms. this Text Places The Tools Needed To Implement Eda Theory At The Fingertips Of Researchers, Applied Mathematicians, Computer Scientists, Engineers, And Statisticians By Using A Practical/computational Approach.
备用文件名
lgrsnf/D:\!genesis\library.nu\be\_16052.be8d4a2bb5e4b92454b0949e9e1da51c.pdf
备用文件名
nexusstc/Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)/be8d4a2bb5e4b92454b0949e9e1da51c.pdf
备用文件名
zlib/Science (General)/Wendy L. Martinez Angel R. Martinez/Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)_918590.pdf
备选标题
Exploratory Data Analysis with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)
备选作者
Martinez, Wendy L., Martinez, Angel R., Martinez, Wendy L., Solka, Jeffrey, Martinez, Angel
备选作者
Angel R. Martinez, Wendy L. Martinez, Angel Martinez, Jeffrey Solka
备选作者
Steven D. Strauss
备用出版商
Ashgate Publishing Limited
备用出版商
Taylor & Francis Group
备用出版商
Chapman and Hall/CRC
备用出版商
Taylor & Francis Ltd
备用出版商
Gower Publishing Ltd
备用版本
Series in computer science and data analysis, Boca Raton, Fla, ©2005
备用版本
Computer science and data analysis, Boca Raton, Fla, 2004
备用版本
Computer science and data analysis series, London, 2004
备用版本
Taylor & Francis (Unlimited), Boca Raton, Fla, 2005
备用版本
United Kingdom and Ireland, United Kingdom
备用版本
United States, United States of America
备用版本
Boca Raton, Fla, Florida, 2005
备用版本
November 29, 2004
元数据中的注释
до 2011-01
元数据中的注释
lg493966
元数据中的注释
{"edition":"1","isbns":["0203483375","1584883669","9780203483374","9781584883661"],"last_page":424}
元数据中的注释
Includes bibliographical references (p. 377-393) and index.
16
备用描述
Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and more complex data sets. There are many resources for those interested in the theory of EDA, but this is the first book to use MATLAB to illustrate the computational aspects of this discipline.
Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods. The book presents an approach using the basic functions from MATLAB and the MATLAB Statistics Toolbox, in order to be more accessible and enduring. It also contains pseudo-code to enable users of other software packages to implement the algorithms.
This text places the tools needed to implement EDA theory at the fingertips of researchers, applied mathematicians, computer scientists, engineers, and statisticians by using a practical/computational approach.
备用描述
Exploratory Data Analysis with MATLAB is the first book to put a computational emphasis on the methods used to visualize and summarize data before making model assumptions to generate hypotheses. The authors use MATLAB code and algorithmic descriptions to provide the user with state-of-the-art techniques for finding patterns and structure in data. They also focus on the computational aspects of these methodologies as opposed to theoretical. Many annotated references to papers and books help to provide the theoretical aspects of the topic. The approach taken by the authors helps to make exploratory data analysis accessible to a wide range of users
备用描述
"Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods."--BOOK JACKET
备用描述
This book is divided into two main sections: pattern discovery and graphical EDA.
开源日期
2011-06-04
更多信息……

🚀 快速下载

成为会员以支持书籍、论文等的长期保存。为了感谢您对我们的支持，您将获得高速下载权益。❤️
如果您在本月捐款，您将获得双倍的快速下载次数。

🐢 低速下载

由可信的合作方提供。 更多信息请参见常见问题解答。 （可能需要验证浏览器——无限次下载！）

所有选项下载的文件都相同，应该可以安全使用。即使这样，从互联网下载文件时始终要小心。例如，确保您的设备更新及时。
显示外部下载
  • 对于大文件，我们建议使用下载管理器以防止中断。
    推荐的下载管理器：JDownloader
  • 您将需要一个电子书或 PDF 阅读器来打开文件，具体取决于文件格式。
    推荐的电子书阅读器：Anna的档案在线查看器、ReadEra和Calibre
  • 使用在线工具进行格式转换。
    推荐的转换工具：CloudConvert和PrintFriendly
  • 您可以将 PDF 和 EPUB 文件发送到您的 Kindle 或 Kobo 电子阅读器。
    推荐的工具：亚马逊的“发送到 Kindle”和djazz 的“发送到 Kobo/Kindle”
  • 支持作者和图书馆
    ✍️ 如果您喜欢这个并且能够负担得起，请考虑购买原版，或直接支持作者。
    📚 如果您当地的图书馆有这本书，请考虑在那里免费借阅。