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Apache Mahout Essentials

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子标题:Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout

Apache Mahout Essentials
作者:
Jayani Withanawasam
ISBN-10:
1783554991
出版年份:
2015
页数:
164
语言:
English
文件大小:
4.75 MB
文件格式:
PDF

图书描述

Apache Mahout is a scalable machine learning library with algorithms for clustering, classification, and recommendations. It empowers users to analyze patterns in large, diverse, and complex datasets faster and more scalably.

This book is an all-inclusive guide to analyzing large and complex datasets using Apache Mahout. It explains complicated but very effective machine learning algorithms simply, in relation to real-world practical examples.

Starting from the fundamental concepts of machine learning and Apache Mahout, this book guides you through Apache Mahout’s implementations of machine learning techniques including classification, clustering, and recommendations. During this exciting walkthrough, real-world applications, a diverse range of popular algorithms and their implementations, code examples, evaluation strategies, and best practices are given for each technique. Finally, you will learn vdata visualization techniques for Apache Mahout to bring your data to life.

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