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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 in Action, Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman

Lingua
Pubblicato
2011
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Titolo
Mahout in Action
Lingua
Inglese
Editore
Manning
Pubblicato
2011
Formato
In brossura
Pagine
387
ISBN10
1935182684
ISBN13
9781935182689
Serie
Valutazione
3,65 su 5
Descrizione
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.