Apache Mahout: Beyond MapReduce
Type
Book
Authors
ISBN 10
1523775785
ISBN 13
9781523775781
Category
Publication Year
2016
Publisher
CreateSpace Independent Publishing Platform, United States
Pages
232
Subject
This book is about designing mathematical and Machine Learning algorithms using the Apache Mahout "Samsara" platform
Description
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.
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.
Number of Copies
1
