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Date : 2011-10-17
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Rating : 4.0
Reviews : 16
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Manning Mahout in Action ~ Mahout in Action is a handson introduction to machine learning with Apache Mahout Following realworld examples the book presents practical use cases and then illustrates how Mahout can be applied to solve them Includes a free audio and videoenhanced ebook
Mahout in Action – Google Research ~ Mahout in Action is written primarily for developers who need to become better practitioners of machine learning techniques It is also appropriate for researchers who understand the techniques and want to understand how to apply them effectively at scale
Mahout in Action Book OReilly Media ~ Summary Mahout in Action is a handson introduction to machine learning with Apache Mahout Following realworld examples the book presents practical use cases and then illustrates how Mahout can be applied to solve them Includes free access to audio and video clips at owenextras
Mahout in Action Review Lucidworks ~ Since Mahout is developing pretty quickly the lack of this being in the book is no fault of the authors I’m just putting it up here so that people are aware that Mahout has more to offer even if the three “C’s” are the most popular All in all Mahout in Action is an excellent introduction to the project
Mahout in Action ACM Digital Library ~ SummaryMahout in Action is a handson introduction to machine learning with Apache Mahout Following realworld examples the book presents practical use cases and then illustrates how Mahout can be applied to solve them Includes a free audio and videoenhanced ebook
Mahout in Action by Sean Owen Goodreads ~ Mahout in Action 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
Mahout in Action 豆瓣 ~ Through realworld 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
Mahout in Action HTW Berlin ~ 1 Meet Apache Mahout 1 11 Mahouts story 2 12 Mahouts machine learning themes 3 Recommender engines 3 Clustering 3 • Classification 4 13 Tackling large scale with Mahout and Hadoop 5 14 Setting up Mahout 6 Java and IDEs 7 • Installing Maven 8 • Installing Mahout 8 • Installing Hadoop 9 15 Summary 9 PART 1 RECOMMENDATIONS 11
GitHub tdunningMiA Mahout in Action Example Code ~ Source code for Mahout in Action book This source code matches to listings from book they were tested with Mahout 05 If you want to experiment with new features from other Mahout versions then you need to use corresponding mahout branch in this repository
Apache Mahout ~ Apache MahoutTM is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians statisticians and data scientists quickly implement their own algorithms Apache Spark is the recommended outofthebox distributed backend or can be extended to other distributed backends
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