Apache Mahout Beyond MapReduce - Dmitriy Lyubimov,Andrew Palumbo
-35% koodilla BOOKS
Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
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. Writ ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Dmitriy Lyubimov, Andrew Palumbo |
|---|---|
| Julkaisija | CreateSpace Independent Publishing Platform |
| Julkaisuvuosi | 2016 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781523775781 |