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Mahout in Action - Sean Owen
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Mahout in Action - neues Buch

2011, ISBN: 9781935182689

ID: 9781935182689

Mahout in Action: Paperback: Manning Publications: 9781935182689: 12 Oct 2011: The Apache Mahout project is focused on three types of machine learning: recommendation systems, classification, and clustering. This text introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them. SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Includes a free audio- and video-enhanced ebook. About the TechnologyA computer system that learns and adapts as it collects data can be really powerful. Mahout, Apache's open source machine learning project, captures the core algorithms of recommendation systems, classification, and clustering in ready-to-use, scalable libraries. With Mahout, you can immediately apply to your own projects the machine learning techniques that drive Amazon, Netflix, and others. About this BookThis book covers machine learning using Apache Mahout. Based on experience with real-world applications, it introduces practical use cases and illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability and how to apply these techniques against large data sets using the Apache Hadoop framework. This book is written for developers familiar with Java - no prior experience with Mahout is assumed. Owners of a Manning pBook purchased anywhere in the world can download a free eBook from manning.com at any time. They can do so multiple times and in any or all formats available (PDF, ePub or Kindle). To do so, customers must register their printed copy on Manning's site by creating a user account and then following instructions printed on the pBook registration insert at the front of the book. What's InsideUse group data to make individual recommendationsFind logical clusters within your dataFilter and refine with on-the-fly classificationFree audio and video extrasTable of ContentsMeet Apache MahoutPART 1 RECOMMENDATIONSIntroducing recommendersRepresenting recommend. Algorithms & Data Structures, , , , Mahout in Action, Sean Owen, 9781935182689, Manning Publications, , , , ,, [PU: Manning Publications]

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Mahout in Action
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Mahout in Action - neues Buch

2011, ISBN: 9781935182689

ID: 9781935182689

Mahout in Action: Paperback: Manning Publications: 9781935182689: 12 Oct 2011: The Apache Mahout project is focused on three types of machine learning: recommendation systems, classification, and clustering. This text introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them. SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Includes a free audio- and video-enhanced ebook. About the TechnologyA computer system that learns and adapts as it collects data can be really powerful. Mahout, Apache's open source machine learning project, captures the core algorithms of recommendation systems, classification, and clustering in ready-to-use, scalable libraries. With Mahout, you can immediately apply to your own projects the machine learning techniques that drive Amazon, Netflix, and others. About this BookThis book covers machine learning using Apache Mahout. Based on experience with real-world applications, it introduces practical use cases and illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability and how to apply these techniques against large data sets using the Apache Hadoop framework. This book is written for developers familiar with Java - no prior experience with Mahout is assumed. Owners of a Manning pBook purchased anywhere in the world can download a free eBook from manning.com at any time. They can do so multiple times and in any or all formats available (PDF, ePub or Kindle). To do so, customers must register their printed copy on Manning's site by creating a user account and then following instructions printed on the pBook registration insert at the front of the book. What's InsideUse group data to make individual recommendationsFind logical clusters within your dataFilter and refine with on-the-fly classificationFree audio and video extrasTable of ContentsMeet Apache MahoutPART 1 RECOMMENDATIONSIntroducing recommendersRepresenting recommend. Algorithms & Data Structures, , , , , , , , , , , ,, [PU: Manning Publications]

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Mahout in Action
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Mahout in Action - gebrauchtes Buch

ISBN: 9781935182689

ID: 471a6c9a972a572dfb74854aeaefd780

HIGHLIGHTThe first and only book on Apache Mahout, an open source tool forleveraging machine learning techniques in large-scale applications. DESCRIPTIONTo benefit from prior experience in the use of a website, machinelearning techniques are increasingly used. The Apache Mahout projectis focused on three types of machine learning that are of particularinterest to modern web developers-recommendation systems,classification, and clustering.Through real-world examples, Mahout in Action introduces the sorts ofp HIGHLIGHTThe first and only book on Apache Mahout, an open source tool forleveraging machine learning techniques in large-scale applications. DESCRIPTIONTo benefit from prior experience in the use of a website, machinelearning techniques are increasingly used. The Apache Mahout projectis focused on three types of machine learning that are of particularinterest to modern web developers-recommendation systems,classification, and clustering.Through real-world examples, Mahout in Action introduces the sorts ofproblems that these techniques are appropriate for, and then illustrateshow Mahout can be applied to solve them. It places particular focus onissues of scalability, and how to apply these techniques at very largescale with the Apache Hadoop framework. KEY POINTSThis book assumes familiarity with Java, and some basic grounding inmachine learning techniques.F. First and only book devoted to Apache MahoutF. Practical insights from industry practitionersF. Real-world examplesF. Discussion of large-scale implemetation with Hadoop, [PU: Manning Publications]

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Mahout in Action - Owen, Sean Anil, Robin Dunning, Ted Friedman,
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Owen, Sean Anil, Robin Dunning, Ted Friedman,:
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ISBN: 9781935182689

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HIGHLIGHT The first and only book on Apache Mahout, an open source tool for leveraging machine learning techniques in large-scale applications. DESCRIPTION To benefit from prior experience in the use of a website, machine learning techniques are increasingly used. 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. KEY POINTS This book assumes familiarity with Java, and some basic grounding in machine learning techniques. * First and only book devoted to Apache Mahout * Practical insights from industry practitioners * Real-world examples * Discu, [PU: Manning Publications]

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Mahout in Action - Sean Anil Owen
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ISBN: 9781935182689

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F Mahout in Action: F COMPUTERS / Programming Languages / Java, Manning

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Mahout in Action
Autor:

Owen, Sean / Anil, Robin / Dunning, Ted / Friedman, Ellen

Titel:

Mahout in Action

ISBN-Nummer:

1935182684

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.

Detailangaben zum Buch - Mahout in Action


EAN (ISBN-13): 9781935182689
ISBN (ISBN-10): 1935182684
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: Manning
375 Seiten
Gewicht: 0,700 kg
Sprache: Englisch

Buch in der Datenbank seit 30.01.2009 14:35:55
Buch zuletzt gefunden am 24.02.2017 11:31:53
ISBN/EAN: 1935182684

ISBN - alternative Schreibweisen:
1-935182-68-4, 978-1-935182-68-9

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