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4.1
100 reviewsApache 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.
