Apache Mahout: Beyond MapReduce

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Apache Mahout: Beyond MapReduce
 

Authored by Dmitriy Lyubimov, Andrew Palumbo
Edition: 1

Apache Mahout: Beyond MapReduce. Distributed algorithm design

This book is about designing mathematical and Machine Learning algorithms using the Apache Mahout "Samsara" platform.

The material takes on best programming practices as well as conceptual approaches to attacking Machine Learning problems in big datasets. Math is explained, followed by code examples of distributed and in-memory computations.

Written by Apache Mahout committers for people who want to learn how to design distributed math algorithms as well as how to use some of the new Mahout "Samsara" algorithms off-the-shelf.

The book covers Apache Mahout 0.10 and 0.11.




Publication Date:
2016-02-18
ISBN/EAN13:
1523775785 / 9781523775781
Page Count:
232
Binding Type:
US Trade Paper
Trim Size:
7" x 10"
Language:
English
Color:
Black and White with Bleed
Related Categories:
Computers / Mathematical & Statistical Software




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