Mahout in Action

Sean Owen

出版时间

2010-11-28

ISBN

9781935182689

评分

★★★★★
书籍介绍

When computers harness prior experience to improve future performance, a type of artificial intelligence called machine learning has been applied. The Apache Mahout project is focused on three types of machine learning that are of particular interest to modern web developers "recommendation systems, classification, and clustering.

Through real-world examples, Mahout in Action introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability, and how to apply these techniques at very large scale with the Apache Hadoop framework.

精彩摘录
  • "Mahout 是一个开源的机器学习库,现在它主要包含的内容是协同过滤(collaborative filtering)、聚类和分类。Mahout用Java实现,并且是scalable的,和Hadoop结合紧密。"
  • "clustering techniques attempt to. group a large number of things together into clusters that share some similarity. It is a way to discover hierarchy and order(层次和规律)in a large or hard-to-understand data set, and in that way reveal interesting patterns or make the data set easier to comprehend."
用户评论
看完了前面的推荐系统部分 还不错 挺实用的
内容有点偏过时了,现在mahout的版本都0.8了
推荐精读。
In Action都是手册类的书了,EAP版本出来的时候还有一读的价值,现在大家都全面转向Spark了这本书就毫无意义了
简单扫了一眼
补录。13年左右学dm的时候读的
挺适合我的吧,clustering部分的分析很有收获啊。的确实战
就读了自己需要的几章。实战性很强一本书,适合入门!
简单,清晰,明了。好!
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