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Learning Bayesian Models
with R
Become an expert in Bayesian machine learning
methods using R and apply them to solve real-world
Big Data problems
Dr. Hari M. Koduvely
BIRMINGHAM - MUMBAI
Learning Bayesian Models with R
Copyright © 2015 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval
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critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy
of the information presented. However, the information contained in this book is
sold without warranty, either express or implied. Neither the author, nor Packt
Publishing, and its dealers and distributors will be held liable for any damages
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companies and products mentioned in this book by the appropriate use of capitals.
However, Packt Publishing cannot guarantee the accuracy of this information.
First published: October 2015
Production reference: 1231015
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-760-3
www.packtpub.com
Credits
Author
Dr. Hari M. Koduvely
Reviewers
Philip B. Graff
Nishanth Upadhyaya
Indexer
Commissioning Editor
Kartikey Pandey
Graphics
Acquisition Editor
Nikhil Karkal
Production Coordinator
Content Development Editor
Athira Laji
Cover Work
Technical Editor
Taabish Khan
Copy Editor
Trishya Hajare
Nitesh Thakur
Nitesh Thakur
Abhinash Sahu
Hemangini Bari
Project Coordinator
Bijal Patel
Proofreader
Safis Editing
About the Author
Samsung R&D Institute in Bangalore, India. He has a PhD in statistical physics
from the Tata Institute of Fundamental Research, Mumbai, India, and post-doctoral
experience from the Weizmann Institute, Israel, and Georgia Tech, USA. Prior to
joining Samsung, the author has worked for Amazon and Infosys Technologies,
developing machine learning-based applications for their products and platforms.
He also has several publications on Bayesian inference and its applications in areas
such as recommendation systems and predictive health monitoring. His current
interest is in developing large-scale machine learning methods, particularly for
natural language understanding.
I would like to express my gratitude to all those who have helped
me throughout my career, without whom this book would not
have been possible. This includes my teachers, mentors, friends,
colleagues, and all the institutions in which I worked, especially
my current employer, Samsung R&D Institute, Bangalore. A special
mention to my spouse, Prathyusha, and son, Pranav, for their
immense moral support during the writing of the book.
Dr. Hari M. Koduvely
is an experienced data scientist working at the

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