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Data Science Algorithms in a
Week
Data analysis, machine learning, and more
Dávid Natingga
BIRMINGHAM - MUMBAI
Data Science Algorithms in a Week
Copyright © 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or
transmitted in any form or by any means, without the prior written permission of the
publisher, except in the case of brief quotations embedded in 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 caused or alleged to be caused
directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the
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: August 2017
Production reference: 1080817
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78728-458-6
www.packtpub.com
Credits
Author
Dávid Natingga
Reviewer
Surendra Pepakayala
Commissioning Editor
Veena Pagare
Acquisition Editor
Chandan Kumar
Content Development Editor
Mamata Walkar
Technical Editor
Naveenkumar Jain
Copy Editor
Safis Editing
Project Coordinator
Kinjal Bari
Proofreader
Safis Editing
Indexer
Pratik Shirodkar
Production Coordinator
Shantanu Zagade
About the Author
Dávid Natingga
graduated in 2014 from Imperial College London in MEng Computing
with a specialization in Artificial Intelligence. In 2011, he worked at Infosys Labs in
Bangalore, India, researching the optimization of machine learning algorithms. In 2012 and
2013, at Palantir Technologies in Palo Alto, USA, he developed algorithms for big data. In
2014, as a data scientist at Pact Coffee, London, UK, he created an algorithm suggesting
products based on the taste preferences of customers and the structure of coffees. In 2017,
he work at TomTom in Amsterdam, Netherlands, processing map data for navigation
platforms.
As a part of his journey to use pure mathematics to advance the field of AI, he is a PhD
candidate in Computability Theory at, University of Leeds, UK. In 2016, he spent 8 months
at Japan, Advanced Institute of Science and Technology, Japan, as a research visitor.
Dávid Natingga married his wife Rheslyn and their first child will soon behold the outer
world.
I would like to thank Packt Publishing for providing me with this opportunity to share my knowledge
and experience in data science through this book. My gratitude belongs to my wife Rheslyn who has
been patient, loving, and supportive through out the whole process of writing this book.
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