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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.
Author: Andrew Palumbo, Dmitriy Lyubimov
ISBN-10: 1523775785
ISBN-13: 9781523775781
Publisher: Createspace Independent Publishing Platform
Language: English
Published: 02/18/2016
Pages: 232
Format: Paperback
Weight: 0.90lbs
Size: 10.00h x 7.01w x 0.49d
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