Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman
[PDF.ob87] Mahout in Action
Mahout in Action Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman epub Mahout in Action Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman pdf download Mahout in Action Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman pdf file Mahout in Action Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman audiobook Mahout in Action Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman book review Mahout in Action Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman summary
| #735210 in Books | 2011-10-17 | Original language:English | PDF # 1 | 9.25 x.91 x7.38l,1.51 | File type: PDF | 416 pages||3 of 3 people found the following review helpful.| very thorough explanations|By Michael|I am brand new to learning algorithms, so I was worried about trying to read this book. First I tried reading some documentation on the Mahout website, but I felt like I was getting a run-around treatment there. Their website kept providing links to documentation that required already knowing how these learning algorithms worked. Eventua|About the Author|
|Sean Owen has been a practicing software engineer for 9 years, most recently at Google, where he helped build and launch Mobile Web search. He joined Apache's Mahout machine learning project in 2008 as a primary committer and works as a Ma
Summary
Mahout 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 Technology
A computer system that learns and adapts as it collects data can be really powerful. Mahout, Apache's open source machine learning project,...
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