Data Mining pdf epub mobi txt 電子書 下載2025
- 數據挖掘
- 機器學習
- DataMining
- MachineLearning
- weka
- 計算機
- 計算機科學
- CS
- 數據挖掘
- 機器學習
- 數據分析
- 人工智能
- 統計學習
- 模式識彆
- 大數據
- 算法
- 數據庫
- 知識發現
具體描述
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
*Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks-in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
著者簡介
圖書目錄
讀後感
国内教科书都是先进来源、历史、分类、发展、趋势等。外国人写的上来稍微介绍一下就像专业知识进军啦
評分我觉得，可以当作weka的使用手册来看，但是比weka自带的指南写的好看。 算法部分的介绍很详细。
評分我觉得，可以当作weka的使用手册来看，但是比weka自带的指南写的好看。 算法部分的介绍很详细。
評分作者可以说是享誉盛名，但是这本书写出来，基本上章法全无。理论和例子基本上没有几个是适合入门者的，加上翻译有些地方表意不清。初阶入门者看了的话，肯定一团迷雾。 评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评...
評分我觉得，可以当作weka的使用手册来看，但是比weka自带的指南写的好看。 算法部分的介绍很详细。
用戶評價
WEKA說明書第三版，相比第二版有增加內容，不過還是基於WEKA的，簡單用用還行。
评分數據挖掘入門書，比較實用Weka，講解瞭數據挖掘相應的基礎算法和理論。內容很多，建議直接讀英文版。
评分= =
评分講解的內容不錯 全書結構略顯混亂 閱讀時自帶超鏈接跳轉/書簽會比較好follow...
评分講得很清楚, 就是WEKA講得有點多, 還有為啥作者介紹是韓傢煒?
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