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OverviewApache 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. Full Product DetailsAuthor: Andrew Palumbo , Dmitriy LyubimovPublisher: Createspace Independent Publishing Platform Imprint: Createspace Independent Publishing Platform Dimensions: Width: 17.80cm , Height: 1.20cm , Length: 25.40cm Weight: 0.408kg ISBN: 9781523775781ISBN 10: 1523775785 Pages: 232 Publication Date: 18 February 2016 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |