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Practical Data Analysis

You're reading from  Practical Data Analysis

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Pages 360 pages
Edition 1st Edition
Languages
Author (1):
Hector Cuesta Hector Cuesta
Profile icon Hector Cuesta
Toc

Table of Contents (24) Chapters close

Practical Data Analysis
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Working with Data 3. Data Visualization 4. Text Classification 5. Similarity-based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Disease with Cellular Automata 10. Working with Social Graphs 11. Sentiment Analysis of Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with IPython and Wakari Setting Up the Infrastructure Index

Acknowledgments

I would like to dedicate this book to my wife Yolanda, my wonderful children Damian and Isaac for all the joy they bring into my life, and to my parents Elena and Miguel for their constant support and love.

I would like to thank my great team at Packt Publishing, particular thanks goes to, Anurag Banerjee, Erol Staveley, Edward Gordon, Anugya Khurana, Neeshma Ramakrishnan, Arwa Manasawala, Manal Pednekar, Pragnesh Bilimoria, and Unnati Shah.

Thanks to my friends, Abel Valle, Oscar Manso, Ivan Cervantes, Agustin Ramos, Dr. Rene Cruz, Dr. Adrian Trueba, and Sergio Ruiz for their helpful suggestions and improvements to my drafts. I would also like to thank the technical reviewers for taking the time to send detailed feedback for the drafts.

I would also like to thank Dr. Armin Mikler for his encouragement and for agreeing to write the foreword of this book. Finally, as an important source of inspiration I would like to mention my mentor and former advisor Dr. Jesus Figueroa-Nazuno.

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