Apache Mahout: Beyond MapReduce

✍ Scribed by Dmitriy Lyubimov, Andrew Palumbo

Publisher: CreateSpace Independent Publishing Platform
Year: 2016
Tongue: English
Leaves: 231
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Subjects

Mathematical & Statistical;Software;Computers & Technology

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