Learn Data Mining Through Excel: A Step-By-Step Approach for Understanding Machine Learning Methods 2/e
暫譯: 透過 Excel 學習資料探勘:理解機器學習方法的逐步指南 (第二版)

Zhou, Hong

  • 出版商: Apress
  • 出版日期: 2023-10-02
  • 售價: $1,880
  • 貴賓價: 9.5$1,786
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484297709
  • ISBN-13: 9781484297704
  • 相關分類: ExcelMachine LearningData-mining
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help, and this book will show you exactly how.

 

This updated edition demonstrates how to work with data in a transparent manner using Excel. When you open an Excel file, data is visible immediately and you can work with it directly. You'll see how to examine intermediate results even as you are still conducting your mining task, offering a deeper understanding of how data is manipulated, and results are obtained. These are critical aspects of the model construction process that are often hidden in software tools and programming language packages.

 

Over the course of Learn Data Mining Through Excel, you will learn the data mining advantages the application offers when the data sets are not too large. You'll see how to use Excel's built-in features to create visual representations of your data, enabling you to present your findings in an accessible format. Author Hong Zhou walks you through each step, offering not only an active learning experience, but teaching you how the mining process works and how to find hidden patterns within the data.

 

Upon completing this book, you will have a thorough understanding of how to use an application you very likely already have to mine and analyze data, and how to present results in various formats.

 

What You Will Learn

 

  • Comprehend data mining using a visual step-by-step approach
  • Gain an introduction to the fundamentals of data mining
  • Implement data mining methods in Excel
  • Understand machine learning algorithms
  • Leverage Excel formulas and functions creatively
  • Obtain hands-on experience with data mining and Excel

 

 

Who This Book Is For

Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.

商品描述(中文翻譯)

使用 Microsoft Excel 中流行的資料探勘技術,以更好地理解機器學習方法。大多數軟體工具和程式語言套件直接接受資料輸入並提供資料探勘結果,卻未能提供工作機制的見解,造成輸入與輸出之間的鴻溝。這正是 Excel 可以發揮作用的地方,而本書將向您展示具體的操作方法。

本更新版展示了如何以透明的方式使用 Excel 處理資料。當您打開 Excel 檔案時,資料會立即顯示,您可以直接進行操作。您將看到如何在進行資料探勘任務的同時檢查中間結果,這將提供對資料操作及結果獲取過程的更深入理解。這些是模型構建過程中的關鍵方面,通常在軟體工具和程式語言套件中隱藏。

在《透過 Excel 學習資料探勘》這本書中,您將學習到當資料集不太大時,該應用程式所提供的資料探勘優勢。您將看到如何使用 Excel 的內建功能來創建資料的視覺化表示,使您能夠以易於理解的格式呈現您的發現。作者 Hong Zhou 將逐步引導您,不僅提供主動學習的體驗,還教您資料探勘過程的運作方式以及如何在資料中尋找隱藏的模式。

完成本書後,您將對如何使用您可能已經擁有的應用程式來進行資料探勘和分析有透徹的理解,並學會如何以各種格式呈現結果。

您將學到的內容:

- 以視覺化的逐步方法理解資料探勘
- 獲得資料探勘基本原理的介紹
- 在 Excel 中實施資料探勘方法
- 理解機器學習演算法
- 創意運用 Excel 公式和函數
- 獲得資料探勘和 Excel 的實作經驗

本書適合對學習資料探勘或機器學習感興趣的任何人,特別是資料科學視覺學習者和希望探索資料科學主題及/或擴展其 Excel 技能的 Excel 熟練者。建議具備基本或初學者級別的 Excel 知識。

作者簡介

Hong Zhou, PhD is a professor of computer science and mathematics and has been teaching courses in computer science, data science, mathematics, and informatics at the University of Saint Joseph for nearly 20 years. His research interests include bioinformatics, data mining, software agents, and blockchain. Prior to his current position, he was as a Java developer in Silicon Valley. Dr. Zhou believes that learners can develop a better foundation of data mining models when they visually experience them step-by-step, which is what Excel offers. He has employed Excel in teaching data mining and finds it an effective approach for both data mining learners and educators.

作者簡介(中文翻譯)

**洪周博士**是計算機科學和數學的教授,並在聖約瑟夫大學教授計算機科學、數據科學、數學和資訊學的課程近20年。他的研究興趣包括生物資訊學、數據挖掘、軟體代理和區塊鏈。在擔任目前職位之前,他曾在矽谷擔任Java開發人員。周博士認為,學習者在逐步視覺化體驗數據挖掘模型時,可以建立更好的基礎,而這正是Excel所提供的。他在教學數據挖掘時使用Excel,並發現這對於數據挖掘的學習者和教育者來說都是一種有效的方法。