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Principles of
Data Science
Second Edition
Understand, analyze, and predict data using Machine Learning concepts and tools
Sinan Ozdemir, Sunil Kakade
and Marco Tibaldeschi
www.packt.com
Principles of Data Science
Second Edition
Understand, analyze, and predict data using
Machine Learning concepts and tools
Sinan Ozdemir
Sunil Kakade
Marco Tibaldeschi
BIRMINGHAM - MUMBAI
Principles of Data Science
Second Edition
Copyright © 2018 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
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Publishing or its dealers and distributors, will be held liable for any damages caused
or alleged to have been caused directly or indirectly by this book.
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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.
Commissioning Editor:
Amey Varangoankar
Acquisition Editor:
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Content Development Editors:
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Technical Editor:
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First published: December 2016
Second editon: December 2018
Production reference: 1190419
Published by Packt Publishing Ltd.
Livery Place
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Birmingham B3 2PB, UK.
ISBN 978-1-78980-454-6
www.packtpub.com
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Contributors
About the authors
Sinan Ozdemir
is a data scientist, start-up founder, and educator living in the
San Francisco Bay Area. He studied pure mathematics at Johns Hopkins University.
He then spent several years conducting lectures on data science at Johns Hopkins
University before founding his own start-up, Kylie.ai, which uses artificial intelligence
to clone brand personalities and automate customer service communications.
Sinan is also the author of
Principles of Data Science, First Edition
available
through Packt.
in creating data- and AI-driven organizations. He is in the adjunct faculty at
Northwestern University, Evanston, IL, where he teaches graduate courses of data
science and big data. He has several research papers to his credit and has presented
his work in big data applications at reputable conferences. He has US patents in
areas of big data and retail processes. He is passionate about applying data science
to improve business outcomes and save patients' lives. At present, Sunil leads the
information architecture and analytics team for a large healthcare organization
focused on improving healthcare outcomes and lives with his wife, Pratibha, and
daughter, Preeti, in Scottsdale, Arizona.
Sunil Kakade
is a technologist, educator, and senior leader with expertise
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