Exploratory Data Analysis with MATLAB
暫譯: 使用 MATLAB 進行探索性資料分析

Martinez, Wendy L., Martinez, Angel R., Solka, Jeffrey L.

Exploratory Data Analysis with MATLAB
  • 出版商: CRC
  • 出版日期: 2022-07-29
  • 售價: $2,210
  • 貴賓價: 9.5 折 $2,100
  • 語言: 英文
  • 頁數: 590
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032179058
  • ISBN-13: 9781032179056
  • 相關分類: Matlab、Data Science

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Praise for the Second Edition:
The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB.--Adolfo Alvarez Pinto, International Statistical Review

Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA.

--David A Huckaby, MAA Reviews

Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models.

Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book's website.

New to the Third Edition

  • Random projections and estimating local intrinsic dimensionality

  • Deep learning autoencoders and stochastic neighbor embedding

  • Minimum spanning tree and additional cluster validity indices

  • Kernel density estimation

  • Plots for visualizing data distributions, such as beanplots and violin plots

  • A chapter on visualizing categorical data

商品描述(中文翻譯)

對第二版的讚譽：
作者呈現了一本直觀且易於閱讀的書籍。... 附有許多範例、建議的練習、良好的參考資料以及全面的附錄，讓不熟悉 MATLAB 的讀者能夠入門。--Adolfo Alvarez Pinto, 國際統計評論

使用 MATLAB 的探索性資料分析 (EDA) 實務工作者會想要擁有這本書。... 作者通過將如此多的 EDA 程式集合在一起，提供了極大的幫助，但他們在這本動態文本中的主要成就在於提供了進行 EDA 的理解和工具。
--David A Huckaby, MAA 評論

探索性資料分析 (EDA) 是資料分析過程中的重要部分。本書中所呈現的方法應該是每位資料科學家的工具箱中必備的。隨著計算能力的提升和資料集的規模與複雜度的增加，EDA 在視覺化和總結資料方面變得更加重要，這是為了在生成假設和模型之前進行假設的基礎。

《使用 MATLAB 的探索性資料分析》第三版從計算的角度介紹 EDA 方法，並使用大量範例和應用來展示這些方法在實踐中的使用。作者使用 MATLAB 代碼、偽代碼和算法描述來說明這些概念。本書的範例、資料集和 EDA 工具箱的 MATLAB 代碼可在書籍網站上下載。

第三版的新內容
- 隨機投影和估計局部內在維度
- 深度學習自編碼器和隨機鄰居嵌入
- 最小生成樹和其他聚類有效性指標
- 核密度估計
- 用於視覺化資料分佈的圖形，例如豆圖和小提琴圖
- 一章關於視覺化類別資料

作者簡介

Wendy L. Martinez is a mathematical statistician with the U.S. Bureau of Labor Statistics. She is a fellow of the American Statistical Association, a co-author of several popular Chapman & Hall/CRC books, and a MATLAB(R) user for more than 20 years. Her research interests include text data mining, probability density estimation, signal processing, scientific visualization, and statistical pattern recognition. She earned an M.S. in aerospace engineering from George Washington University and a Ph.D. in computational sciences and informatics from George Mason University.

Angel R. Martinez is fully retired after a long career with the U.S. federal government and as an adjunct professor at Strayer University, where he taught undergraduate and graduate courses in statistics and mathematics. Before retiring from government service, he worked for the U.S. Navy as an operations research analyst and a computer scientist. He earned an M.S. in systems engineering from the Virginia Polytechnic Institute and State University and a Ph.D. in computational sciences and informatics from George Mason University.

Since 1984, Jeffrey L. Solka has been working in statistical pattern recognition for the Department of the Navy. He has published over 120 journal, conference, and technical papers; has won numerous awards; and holds 4 patents. He earned an M.S. in mathematics from James Madison University, an M.S. in physics from Virginia Polytechnic Institute and State University, and a Ph.D. in computational sciences and informatics from George Mason University.

作者簡介(中文翻譯)

Wendy L. Martinez 是美國勞工統計局的數學統計學家。她是美國統計學會的會員，並且是幾本受歡迎的 Chapman & Hall/CRC 書籍的共同作者，擁有超過 20 年的 MATLAB(R) 使用經驗。她的研究興趣包括文本數據挖掘、機率密度估計、信號處理、科學可視化和統計模式識別。她在喬治華盛頓大學獲得航空航天工程碩士學位，並在喬治梅森大學獲得計算科學與資訊學博士學位。

Angel R. Martinez 在美國聯邦政府工作多年後已完全退休，並曾擔任 Strayer University 的兼任教授，教授統計學和數學的本科及研究生課程。在退休之前，他曾在美國海軍擔任運營研究分析師和計算機科學家。他在維吉尼亞理工學院和州立大學獲得系統工程碩士學位，並在喬治梅森大學獲得計算科學與資訊學博士學位。

自 1984 年以來，Jeffrey L. Solka 一直在美國海軍部門從事統計模式識別工作。他已發表超過 120 篇期刊、會議和技術論文；獲得多項獎項；並持有 4 項專利。他在詹姆斯麥迪遜大學獲得數學碩士學位，在維吉尼亞理工學院和州立大學獲得物理碩士學位，並在喬治梅森大學獲得計算科學與資訊學博士學位。

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