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R Deep Learning Essentials
Build automatic classification and prediction models
using unsupervised learning
Dr. Joshua F. Wiley
BIRMINGHAM - MUMBAI
www.allitebooks.com
R Deep Learning Essentials
Copyright © 2016 Packt Publishing
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: March 2016
Production reference: 1220316
Published by Packt Publishing Ltd.
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Birmingham B3 2PB, UK.
ISBN 978-1-78528-058-0
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Credits
Author
Dr. Joshua F. Wiley
Reviewer
Vincenzo Lomonaco
Commissioning Editor
Akram Hussain
Acquisition Editor
Manish Nainani
Content Development Editor
Siddhesh Salvi
Technical Editor
Pranil Pathare
Copy Editor
Stephen Copestake
Project Coordinator
Nidhi Joshi
Proofreader
Safis Editing
Indexer
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Graphics
Kirk D'Penha
Disha Haria
Jason Monteiro
Production Coordinator
Conidon Miranda
Cover Work
Conidon Miranda
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About the Author
at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the
University of California, Los Angeles. His research focuses on using advanced
quantitative methods to understand the complex interplays of psychological,
social, and physiological processes in relation to psychological and physical health.
In statistics and data science, Joshua focuses on biostatistics and is interested in
reproducible research and graphical displays of data and statistical models.
Through consulting at Elkhart Group Limited and his former work at the UCLA
Statistical Consulting Group, Joshua has helped a wide array of clients, ranging
from experienced researchers to biotechnology companies. He develops or
codevelops a number of R packages including
varian
, a package to conduct
Bayesian scale-location structural equation models, and
MplusAutomation
,
a popular package that links R to the commercial Mplus software.
I would like to thank my wife and family for the years of support
and encouragement that have kept me passionate about my work.
Dr. Joshua F. Wiley
is a lecturer at Monash University and a senior partner
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