Apache Mahout: Beyond MapReduce
Dmitriy Lyubimov, Andrew Palumbo
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.
Categorías:
Año:
2016
Edición:
1
Editorial:
CreateSpace Independent Publishing Platform
Idioma:
english
Páginas:
232
ISBN 10:
1523775785
ISBN 13:
9781523775781
Archivo:
PDF, 1.43 MB
IPFS:
,
english, 2016