Learning scikit-learn_ Machine Learning in Python [Garreta & Moncecchi 2013-11-25].pdf

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Learning scikit-learn: Machine
Learning in Python
Experience the benefits of machine learning techniques
by applying them to real-world problems using Python
and the open source scikit-learn library
Raúl Garreta
Guillermo Moncecchi
BIRMINGHAM - MUMBAI
Learning scikit-learn: Machine Learning in Python
Copyright © 2013 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 authors, 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: November 2013
Production Reference: 1181113
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78328-193-0
www.packtpub.com
Cover Image by Faiz Fattohi (
faizfattohi@gmail.com
)
Credits
Authors
Raúl Garreta
Guillermo Moncecchi
Proofreader
Reviewers
Andreas Hjortgaard Danielsen
Noel Dawe
Gavin Hackeling
Acquisition Editors
Kunal Parikh
Owen Roberts
Commissioning Editor
Deepika Singh
Technical Editors
Shashank Desai
Iram Malik
Copy Editors
Sarang Chari
Janbal Dharmaraj
Aditya Nair
Indexer
Monica Ajmera Mehta
Graphics
Abhinash Sahu
Production Co-ordinator
Pooja Chiplunkar
Cover Work
Pooja Chiplunkar
Katherine Tarr
Project Coordinator
Aboli Ambardekar
About the Authors
application of Artificial Intelligence (AI), where he specialized in Machine Learning
and Natural Language Processing (NLP).
He has an entrepreneur profile with much interest in the application of science,
technology, and innovation to the Internet industry and startups. He has worked in
many software companies, handling everything from video games to implantable
medical devices.
In 2009, he co-founded Tryolabs with the objective to apply AI to the development of
intelligent software products, where he performs as the CTO and Product Manager
of the company. Besides the application of Machine Learning and NLP, Tryolabs'
expertise lies in the Python programming language and has been catering to many
clients in Silicon Valley. Raul has also worked in the development of the Python
community in Uruguay, co-organizing local PyDay and PyCon conferences.
He is also an assistant professor at the Computer Science Institute of Universidad de
la República in Uruguay since 2007, where he has been working on the courses of
Machine Learning, NLP, as well as Automata Theory and Formal Languages. Besides
this, he is finishing his Masters degree in Machine Learning and NLP. He is also very
interested in the research and application of Robotics, Quantum Computing, and
Cognitive Modeling. Not only is he a technology enthusiast and science fiction lover
(geek) but also a big fan of arts, such as cinema, photography, and painting.
I would like to thank my girlfriend for putting up with my long
working sessions and always supporting me. Thanks to my parents,
grandma, and aunt Pinky for their unconditional love and for always
supporting my projects. Thanks to my friends and teammates at
Tryolabs for always pushing me forward. Thanks Guillermo for
joining me in writing this book. Thanks Diego Garat for introducing
me to the amazing world of Machine Learning back in 2005.
Also, I would like to have a special mention to the open source
Python and scikit-learn community for their dedication and
professionalism in developing these beautiful tools.
Raúl Garreta
is a Computer Engineer with much experience in the theory and

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