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.
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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。
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