R Deep Learning Cookbook
Solve complex neural net problems with TensorFlow, H2O and MXNet
Dr. PKS Prakash
Achyutuni Sri Krishna Rao
BIRMINGHAM - MUMBAI
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R Deep Learning Cookbook
Copyright 2017 Packt Publishing
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First published: August 2017
Production reference: 1030817
Published by Packt Publishing Ltd.
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ISBN 978-1-78712-108-9
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Credits
Authors Dr. PKS Prakash Achyutuni Sri Krishna Rao | Copy Editor Manisha Sinha |
Reviewers Vahid Mirjalili | Project Coordinator Manthan Patel |
Commissioning Editor Veena Pagare | Proofreader Safis Editing |
Acquisition Editor Aman Singh | Indexer Tejal Daruwale Soni |
ContentDevelopmentEditor Tejas Limkar | Graphics Tania Dutta |
Technical Editor Sagar Sawant | Production Coordinator Deepika Naik |
About the Authors
Dr. PKS Prakash is a data scientist and an author. He has spent the last 12 years developing many data science solutions to problems from leading companies in the healthcare, manufacturing, pharmaceutical, and e-commerce domain. He is working as a Data Science Manager at ZS Associates.
ZS is one of the world's largest business service firms, helping clients with commercial success by creating data-driven strategies using advanced analytics, which they can implement within their sales and marketing operations to make them more competitive, and by helping them deliver impact where it matters.
Prakash obtained a PhD in Industrial and System Engineering from Wisconsin-Madison, US. He defended his second PhD in Engineering from University of Warwick, UK. His educational background also includes a master's degree from the University of Wisconsin-Madison, US, and a bachelor's degree from National Institute of Foundry and Forge Technology (NIFFT), India. He is the co-founder of Warwick Analytics, which is based on his PhD work from the University of Warwick, UK.
Prakash is published widely in research areas of operational research and management, soft computing tools, and advance algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an issue of Intelligent Approaches to Complex Systems and contributed to Evolutionary Computing in Advanced Manufacturing, published by Wiley, and Algorithms and Data Structures Using R, published by Packt.
This book would not have been possible without the support and love from my wife, Dr. Ritika Singh, and my daughter, Nishidha Singh. Also, I would like to extend my special thanks to so many people from the Packt team whose names may not all be mentioned, but their contribution is sincerely appreciated and gratefully acknowledged. The book started with an early discussion with Aman Singh (Acquisition Editor), so I want to extend special thanks to him as without his input, this book would have never happened. Also, I want to thank Tejas Limkar (Content Development Editor) for continuously pushing us and getting the book delivered on time. I would like to extend thanks to all the reviewers, whose feedback has helped us tremendously in improving the book.
Achyutuni Sri Krishna Rao is a data scientist, a civil engineer, and an author. He has spent the last four years developing many data science solutions to problems from leading companies in the healthcare, pharmaceuticals, and manufacturing. He is working as a Data Science Consultant at ZS Associates.
Sri Krishna's background includes a master's degree in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His educational background also includes a bachelor's degree from National Institute of Technology Warangal, India.
Sri Krishna is published widely in research areas of civil engineering. He has contributed to a book titled Algorithms and Data Structures Using R, published by Packt.
The journey of this book has been quite memorable, and I would like to give the credit to my loving wife and my baby (on the way). I like to extend special thanks to my caring parents and my adorable sister. Also, I would gratefully acknowledge the support from the entire Packt team, especially Aman Singh (Acquisition Editor) and Tejas Limkar (Content Development Editor), for striving to get the book delivered on time. I would like to extend thanks to all the reviewers, whose feedback has helped us tremendously in improving the book.
About the Reviewer
Vahid Mirjalili is a software engineer/data scientist, currently working toward his PhD in Computer Science at Michigan State University. His research at the i-PRoBE (integrated pattern recognition and biometrics) involves attribute classification of face images from large image datasets. He also teaches Python programming as well as computing concepts for data analysis and databases. With his specialty in data mining, he is very interested in predictive modeling and getting insights from data. He is also a Python developer and likes to contribute to the open source community. He enjoys making tutorials for different areas of data science and computer algorithms, which can be found in his GitHub repository, at http://github.com/mirjalil/DataScience.
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