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Apache Mahout Cookbook [Kindle Edition]

Piero Giacomelli

Kindle-Preis: EUR 15,13 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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Produktbeschreibungen

Kurzbeschreibung

In Detail

The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets.

"Apache Mahout Cookbook" provides a fresh, scope-oriented approach to the Mahout world for both beginners as well as advanced users. The book gives an insight on how to write different data mining algorithms to be used in the Hadoop environment and choose the best one suiting the task in hand.

"Apache Mahout Cookbook" looks at the various Mahout algorithms available, and gives the reader a fresh solution-centered approach on how to solve different data mining tasks. The recipes start easy but get progressively complicated. A step-by-step approach will guide the developer in the different tasks involved in mining a huge dataset. You will also learn how to code your Mahout’s data mining algorithm to determine the best one for a particular task. Coupled with this, a whole chapter is dedicated to loading data into Mahout from an external RDMS system. A lot of attention has also been put on using your data mining algorithm inside your code so as to be able to use it in an Hadoop environment. Theoretical aspects of the algorithms are covered for information purposes, but every chapter is written to allow the developer to get into the code as quickly and smoothly as possible. This means that with every recipe, the book provides the code for reusing it using Maven as well as the Maven Mahout source code.

By the end of this book you will be able to code your procedure to do various data mining tasks with different algorithms and to evaluate and choose the best ones for your tasks.

Approach

"Apache Mahout Cookbook" uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout.

Who this book is for

"Apache Mahout Cookbook" is great for developers who want to have a fresh and fast introduction to Mahout coding. No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented.

Über den Autor und weitere Mitwirkende

Piero Giacomelli

Piero Giacomelli started playing with computers back in 1986 when he received his first PC (a commodore 64). Despite his love for computers, he graduated in Mathematics, entered the professional software industry in 1997, and started using Java.

He has been involved in a lot of software projects using Java, .NET, and PHP. He is not only a great fan of JBoss and Apache technologies, but also uses Microsoft technologies without moral issues.

He has worked in many different industrial sectors, such as aerospace, ISP, textile and plastic manufacturing, and e-health association, both as a software developer and as an IT manager. He has also been involved in many EU research-funded projects in FP7 EU programs, such as CHRONIOUS, I-DONT-FALL, FEARLESS, and CHROMED.

In recent years, he has published some papers on scientific journals and has been awarded two best paper awards by the International Academy, Research and Industry Association (IARIA).

In 2012, he published HornetQ Messaging Developer's Guide, Packt Publishing, which is a standard reference book for the Apache HornetQ Framework.

He is married with two kids, and in his spare time, he regresses to his infancy ages to play with toys and his kids.


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 6774 KB
  • Seitenzahl der Print-Ausgabe: 252 Seiten
  • ISBN-Quelle für Seitenzahl: 1849518025
  • Verlag: Packt Publishing (26. Dezember 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00HJR6R86
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Amazon Bestseller-Rang: #356.109 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?

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Kundenrezensionen

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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 2.5 von 5 Sternen  8 Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Basic and wrong focused. 3. März 2014
Von German Araujo - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
The level of the book is very low, every interesting topic is stated as "out of the scope". The main part of the book is wasted in explaining (more than once) meaningless topics like: how to create a project in netbeans, hot to uncompress a tar file, or even how to write a csv file using java!!
Thumbs down for sure...
1 von 1 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Nothing better than web tutorial. 7. Januar 2014
Von Jlee - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
This book contains very basic features.
It's good for beginners who want quick tour over mahout functionality and use cases, however, she/he will need more precise references to create something practical.
I expected more precise use case and data handling technique, such as scaling mahout algorithm with map reduce.
1.0 von 5 Sternen I was really disappointed with this book 2. August 2014
Von David Ishmael - Veröffentlicht auf Amazon.com
Format:Taschenbuch
I was really disappointed with this book. I was expecting recipes for common tasks, specifically written in Java versus running command line utilities. For example, it would be helpful to start with a "hello world" type intro that propels the reader into how to leverage Mahout by extending an existing Java application. That being said, the book provides some Java code to address high-level activities, but lacks the wealth of real-world activities Mahout is ideal to tackle. This book seems to focus more on explaining the nuts and bolts of Mahout. If you're looking for a supplemental academic reference manual, perhaps this book fits that billet. As another review pointed out, there are better sources on the Internet for cookbook-like recipes.
1.0 von 5 Sternen Awful 27. September 2014
Von Cartwright - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This is not a good book.

Much of the recipes spend most of their time talking about how to set things up -- such as reading in CSV file or downloading a file from the web -- and almost no time explaining what is happening with Mahout.

And the code is just terrible. When you download the code from the website, big chunks aren't used at all, things are commented out, nothing is explained, and is just generally poor quality. And instead of including sample data sets, you're supposed to download data from web services -- some of which no longer exist! What a hassle.

Not recommend.
4.0 von 5 Sternen Good Baseline 11. Juni 2014
Von TechKnowMage - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
I prefer the cookbook format for learning, so I am a bit biased towards the format of this book. This gave me what I needed to move forward with my exploration of machine learning.
Waren diese Rezensionen hilfreich?   Wir wollen von Ihnen hören.

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