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Practical Machine Learning

You're reading from   Practical Machine Learning Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781784399689
Length 468 pages
Edition 1st Edition
Languages
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Author (1):
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Sunila Gollapudi Sunila Gollapudi
Author Profile Icon Sunila Gollapudi
Sunila Gollapudi
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Toc

Table of Contents (16) Chapters Close

Preface 1. Introduction to Machine learning FREE CHAPTER 2. Machine learning and Large-scale datasets 3. An Introduction to Hadoop's Architecture and Ecosystem 4. Machine Learning Tools, Libraries, and Frameworks 5. Decision Tree based learning 6. Instance and Kernel Methods Based Learning 7. Association Rules based learning 8. Clustering based learning 9. Bayesian learning 10. Regression based learning 11. Deep learning 12. Reinforcement learning 13. Ensemble learning 14. New generation data architectures for Machine learning Index

Apache Mahout


Apache Mahout is a Machine learning library that comes packaged with Apache Hadoop and forms an important part of the Hadoop ecosystem.

Mahout came into existence in 2008 as a subproject of Apache Lucene (an open source search engine). Lucene is an API that has an implementation of search, text mining, and information-retrieval techniques. Most of these search and text analytics internally apply Machine learning techniques. The recommendation engines that were built for the search engines started off under a new subproject called Mahout. Mahout means the rider of an elephant, signifying the running of Machine learning algorithms over Hadoop. It is a scalable Machine learning implementation that can run in a standalone mode (does not tightly integrate with Hadoop) as well.

Mahout is a set of some basic Machine learning Java libraries used for classification, clustering, pattern mining, and so on. Though Mahout today provides support for a subset of Machine learning algorithms...

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