Book Image

Hands-On Ensemble Learning with R

By : Prabhanjan Narayanachar Tattar
Book Image

Hands-On Ensemble Learning with R

By: Prabhanjan Narayanachar Tattar

Overview of this book

Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy. Hands-On Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models. By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples.
Table of Contents (17 chapters)
Hands-On Ensemble Learning with R
Contributors
Preface
12
What's Next?
Index

Hands-On Ensemble Learning with R

Copyright © 2018 Packt Publishing

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Commissioning Editor: Sunith Shetty

Acquisition Editor: Tushar Gupta

Content Development Editor: Aaryaman Singh

Technical Editor: Dinesh Chaudhary

Copy Editors: Safis Editing

Project Coordinator: Manthan Patel

Proofreader: Safis Editing

Indexer: Mariammal Chettiyar

Graphics: Jisha Chirayil

Production Coordinator: Nilesh Mohite

First published: July 2018

Production reference: 1250718

Published by Packt Publishing Ltd.

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ISBN 978-1-78862-414-5

www.packtpub.com

On the personal front, I continue to benefit from the support of my family: my daughter, Pranathi; my wife, Chandrika; and my parents, Lakshmi and Narayanachar. The difference in their support from acknowledgement in earlier books is that now I am in Chennai and they support me from Bengaluru. It involves a lot of sacrifice to allow a writer his private time with writing. I also thank my managers, K. Sridharan, Anirban Singha, and Madhu Rao, at Ford Motor Company for their support. Anirban had gone through some of the draft chapters and expressed confidence in the treatment of topics in the book.

My association with Packt is now six years and four books! This is the third title I have done with Tushar Gupta and it is needless to say that I enjoy working with him. Menka Bohra and Aaryaman Singh have put a lot of faith in my work and strived to accommodate the delays, so special thanks to both of them. Manthan Patel and Snehal Kolte have also extended their support. Finally, it is a great pleasure to thank Storm Mann for improving the language of the book. If you still come across a few mistakes, the blame is completely mine.

It is a pleasure to dedicate this book to them for all their support.

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