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

Product type Paperback

Published in Jan 2016

Last Updated in Feb 2025

Publisher Packt

ISBN-13 9781784399689

Length 468 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Machine Learning

Author (1):

Sunila Gollapudi

View More author details

Table of Contents (16) Chapters

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

Introduction to Apache Hadoop

Apache Hadoop is an open source, Java-based project from the Apache Software Foundation. The core purpose of this software has been to provide a platform that is scalable, extensible, and fault tolerant for the distributed storage and processing of big data. Please refer to Chapter 2, Machine learning and Large-scale Datasets for more information on what data qualifies as big data. The following image is the standard logo of Hadoop:

At the heart of it, it leverages clusters of nodes that can be commodity servers and facilitates parallel processing. The name Hadoop was given by its creator Doug Cutting, naming it after his child's yellow stuffed toy elephant. Till date, Yahoo! has been the largest contributor and an extensive user of Hadoop. More details of Hadoop, its architecture, and download links are accessible at http://hadoop.apache.org/.

Hadoop is an industry standard platform for big data, and it comes with extensive support for all the popular...

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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

Table of Contents (16) Chapters

Introduction to Apache Hadoop

Authors (1)

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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

Table of Contents (16) Chapters

Introduction to Apache Hadoop

Authors (1)

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