{"product_id":"apache-mahout-andrew-palumbo-9781523775781","title":"Apache Mahout: Beyond MapReduce","description":"\u003cb\u003eApache Mahout: Beyond MapReduce.\u003c\/b\u003e\u003ci\u003e Distributed algorithm design\u003c\/i\u003e \u003cp\u003e This book is about designing mathematical and Machine Learning algorithms using the Apache Mahout \"Samsara\" platform. \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cp\u003e Written by Apache Mahout committers for people who want to learn how to \u003cb\u003edesign distributed math algorithms\u003c\/b\u003e as well as how to use some of the new Mahout \"Samsara\" algorithms off-the-shelf. \u003c\/p\u003e\u003cp\u003e The book covers Apache Mahout 0.10 and 0.11.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Andrew Palumbo, Dmitriy Lyubimov\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1523775785\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781523775781\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Createspace Independent Publishing Platform\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 02\/18\/2016\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 232\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.90lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.01w x 0.49d\u003c\/p\u003e","brand":"Andrew Palumbo","offers":[{"title":"Paperback","offer_id":45896806990079,"sku":"9781523775781","price":18.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_b8c64e2c-41bd-4f60-a892-02d4c4ffb035.jpg?v=1721372375","url":"https:\/\/www.whiterainbookhouse.com\/products\/apache-mahout-andrew-palumbo-9781523775781","provider":"WR Book House","version":"1.0","type":"link"}