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Davy Cielen - Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

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Davy Cielen Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
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Introducing Data Science: Big Data, Machine Learning, and more, using Python tools: summary, description and annotation

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Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, youll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.

About the Book

Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. Youll explore data visualization, graph databases, the use of NoSQL, and the data science process. Youll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, youll have the solid foundation you need to start a career in data science.

Whats Inside

  • Handling large data
  • Introduction to machine learning
  • Using Python to work with data
  • Writing data science algorithms

About the Reader

This book assumes youre comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required.

About the Authors

Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors.

Table of Contents

  1. Data science in a big data world
  2. The data science process
  3. Machine learning
  4. Handling large data on a single computer
  5. First steps in big data
  6. Join the NoSQL movement
  7. The rise of graph databases
  8. Text mining and text analytics
  9. Data visualization to the end user

Davy Cielen: author's other books


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Introducing Data Science: Big data, machine learning, and more, using Python tools
Davy Cielen, Arno D. B. Meysman, and Mohamed Ali

Introducing Data Science Big Data Machine Learning and more using Python tools - image 1

Copyright

For online information and ordering of this and other Manning books, please visit www.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact

Special Sales Department Manning Publications Co. 20 Baldwin Road PO Box 761 Shelter Island, NY 11964 Email: orders@manning.com

2016 by Manning Publications Co. All rights reserved.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher.

Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps.

Picture 2 Recognizing the importance of preserving what has been written, it is Mannings policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15 percent recycled and processed without the use of elemental chlorine.

Picture 3Manning Publications Co.20 Baldwin RoadPO Box 761Shelter Island, NY 11964
Development editor: Dan MaharryTechnical development editors: Michael Roberts, Jonathan ThomsCopyeditor: Katie PetitoProofreader: Alyson BrenerTechnical proofreader: Ravishankar RajagopalanTypesetter: Dennis DalinnikCover designer: Marija Tudor

ISBN 9781633430037

Printed in the United States of America

1 2 3 4 5 6 7 8 9 10 EBM 21 20 19 18 17 16

Brief Table of Contents
Table of Contents
Preface

Its in all of us. Data science is what makes us humans what we are today. No, not the computer-driven data science this book will introduce you to, but the ability of our brains to see connections, draw conclusions from facts, and learn from our past experiences. More so than any other species on the planet, we depend on our brains for survival; we went all-in on these features to earn our place in nature. That strategy has worked out for us so far, and were unlikely to change it in the near future.

But our brains can only take us so far when it comes to raw computing. Our biology cant keep up with the amounts of data we can capture now and with the extent of our curiosity. So we turn to machines to do part of the work for us: to recognize patterns, create connections, and supply us with answers to our numerous questions.

The quest for knowledge is in our genes. Relying on computers to do part of the job for us is notbut it is our destiny.

Acknowledgments

A big thank you to all the people of Manning involved in the process of making this book for guiding us all the way through.

Our thanks also go to Ravishankar Rajagopalan for giving the manuscript a full technical proofread, and to Jonathan Thoms and Michael Roberts for their expert comments. There were many other reviewers who provided invaluable feedback throughout the process: Alvin Raj, Arthur Zubarev, Bill Martschenko, Craig Smith, Filip Pravica, Hamideh Iraj, Heather Campbell, Hector Cuesta, Ian Stirk, Jeff Smith, Joel Kotarski, Jonathan Sharley, Jrn Dinkla, Marius Butuc, Matt R. Cole, Matthew Heck, Meredith Godar, Rob Agle, Scott Chaussee, and Steve Rogers.

First and foremost I want to thank my wife Filipa for being my inspiration and motivation to beat all difficulties and for always standing beside me throughout my career and the writing of this book. She has provided me the necessary time to pursue my goals and ambition, and shouldered all the burdens of taking care of our little daughter in my absence. I dedicate this book to her and really appreciate all the sacrifices she has made in order to build and maintain our little family.

I also want to thank my daughter Eva, and my son to be born, who give me a great sense of joy and keep me smiling. They are the best gifts that God ever gave to my life and also the best children a dad could hope for: fun, loving, and always a joy to be with.

A special thank you goes to my parents for their support over the years. Without the endless love and encouragement from my family, I would not have been able to finish this book and continue the journey of achieving my goals in life.

Id really like to thank all my coworkers in my company, especially Mo and Arno, for all the adventures we have been through together. Mo and Arno have provided me excellent support and advice. I appreciate all of their time and effort in making this book complete. They are great people, and without them, this book may not have been written.

Finally, a sincere thank you to my friends who support me and understand that I do not have much time but I still count on the love and support they have given me throughout my career and the development of this book.

D AVY C IELEN

I would like to give thanks to my family and friends who have supported me all the way through the process of writing this book. It has not always been easy to stay at home writing, while I could be out discovering new things. I want to give very special thanks to my parents, my brother Jago, and my girlfriend Delphine for always being there for me, regardless of what crazy plans I come up with and execute.

I would also like to thank my godmother, and my godfather whose current struggle with cancer puts everything in life into perspective again.

Thanks also go to my friends for buying me beer to distract me from my work and to Delphines parents, her brother Karel, and his soon-to-be wife Tess for their hospitality (and for stuffing me with good food).

All of them have made a great contribution to a wonderful life so far.

Last but not least, I would like to thank my coauthor Mo, my ERC-homie, and my coauthor Davy for their insightful contributions to this book. I share the ups and downs of being an entrepreneur and data scientist with both of them on a daily basis. It has been a great trip so far. Lets hope there are many more days to come.

A RNO D. B. M EYSMAN

First and foremost, I would like to thank my fiance Muhuba for her love, understanding, caring, and patience. Finally, I owe much to Davy and Arno for having fun and for making an entrepreneurial dream come true. Their unfailing dedication has been a vital resource for the realization of this book.

M OHAMED A LI

About this Book

I can only show you the door. Youre the one that has to walk through it.

Morpheus, The Matrix

Welcome to the book! When reading the table of contents, you probably noticed the diversity of the topics were about to cover. The goal of Introducing Data Science is to provide you with a little bit of everythingenough to get you started. Data science is a very wide field, so wide indeed that a book ten times the size of this one wouldnt be able to cover it all. For each chapter, we picked a different aspect we find interesting. Some hard decisions had to be made to keep this book from collapsing your bookshelf!

We hope it serves as an entry pointyour doorway into the exciting world of data science.

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