Data Mining pdf epub mobi txt 电子书 下载 2025
- 数据挖掘
- 机器学习
- DataMining
- MachineLearning
- weka
- 计算机
- 计算机科学
- CS
- 数据挖掘
- 机器学习
- 数据分析
- 人工智能
- 统计学习
- 模式识别
- 大数据
- 算法
- 数据库
- 知识发现
具体描述
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
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读后感
这本书确实如所知道的那样，翻译得很水。很多一些概念的东西就像把你隔在某种屏障外，然后其实说的并不是那么枯燥的东西………… 本书主要还是介绍机器学习的，用这本书的目的就是为了了解weka中算法实现的思想。从这点出发这本书还算是比较值当的了，比官方的文档确实还是要精...
评分----------------------------------------- 外文教材， 外文参考书 请咨询 http://shop35575714.taobao.com ----------------------------------------
评分 评分断断续续做了8年股市，从爬数据，到做数据挖掘框架，趴了好多书。 一晃8年，从20多岁的青葱年代到不敢多念想的奔四岁月。 时间从挥霍到点滴的珍惜，不知道还能坚持多久。 最近结合weka搭建一个自适应的机器学习引擎。 希望能有所突破。自己选择没有后悔， 只有孤注一掷的往...
用户评价
it's a must for weka learners.
评分it's a must for weka learners.
评分textbook
评分翻译版就不要去看了真的。。。
评分讲解的内容不错 全书结构略显混乱 阅读时自带超链接跳转/书签会比较好follow...
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