圖書標籤: 數據挖掘 機器學習 DataMining MachineLearning weka 計算機 計算機科學 CS
发表于2025-01-13
Data Mining pdf epub mobi txt 電子書 下載 2025
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
very useful for new learners
評分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。
評分講解的內容不錯 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...
評分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。
評分very useful for new learners
这本dm的书啃完了,觉得有点这个书有点“偏见”,怎么理解呢 前面的东西不错哦,可是后半部分的Weka平台我个人觉得翻翻就行了,要学还不如看看spss的书呢,前面关于机器模型的建立的数学基础要求的不是很高,所以很适合一般没有学过随机过程的人看看,要是数学很牛的人,可以看...
評分----------------------------------------- 外文教材, 外文参考书 请咨询 http://shop35575714.taobao.com ----------------------------------------
評分翻译的不大好,譬如:指针与引用的"引用(reference)",被翻译成"参考";JavaBean被翻译为Java豆;异常的"抛出"被翻译为"丢弃".... 不过对于想学习Weka,研究Weka源码的朋友来说,该书的算法介绍和软件使用还是很不错的.
評分作者不是Jiawei Han好嘛. 没读过写什么书评! 作者是怀卡托大学的Ian和Eibe, Weka的发明人. 没看过别瞎BB. 豆瓣写错author你们就顺杆爬有意思么...............................................................................................................................
評分----------------------------------------- 外文教材, 外文参考书 请咨询 http://shop35575714.taobao.com ----------------------------------------
Data Mining pdf epub mobi txt 電子書 下載 2025