Mahout in Action 童书●育儿
Sean Owen/Robin Anil/Ted Dunni
Manning Publications(2010-11-28)
344元 / 375页
9781935182689
标签: 机器学习 数据挖掘 推荐系统 mahout hadoop 算法
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.
Manning Publications(2010-11-28)
344元 / 375页
9781935182689
标签: 机器学习 数据挖掘 推荐系统 mahout hadoop 算法
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.