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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

Product type Paperback

Published in Jan 2016

Publisher Packt

ISBN-13 9781784399689

Length 468 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Machine Learning

Author (1):

Sunila Gollapudi

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Table of Contents (23) Chapters

Practical Machine Learning

Credits

Foreword

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

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

Spring XD

Though this book does not include Spring XD framework to demonstrate the Machine learning algorithm, a small introduction is given here as this is found to be fast emerging for adoption in the Machine learning world.

XD stands for eXtreme Data. This open source framework is built by the Pivotal team (earlier the SpringSource) as the one-stop-shop for developing and deploying big data applications.

Spring XD is a distributed and extensible framework that unifies data ingestion, analytics functions in real-time, batch, and supports data export. Spring XD is built on Spring Integration and Spring Batch frameworks.

Following are some key features:

Spring XD is a unified platform for batch and stream workloads. It is an open and extensible runtime.
Scalable and high-performance, it is a distributed data ingestion framework that can ingest data from a variety of sources that include HDFS, NOSQL, or Splunk.
It supports for real-time analytics at ingestion time, for example, gathering metrics...

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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 (23) Chapters

Spring XD

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 (23) Chapters

Spring XD

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Authors (1)

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