machine_learning_with_r.pdf

(11178 KB) Pobierz

[

]

Machine Learning with R

Second Edition

Discover how to build machine learning algorithms,

prepare data, and dig deep into data prediction

techniques with R

Brett Lantz

BIRMINGHAM - MUMBAI

Machine Learning with R

Second Edition

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: October 2013

Second edition: July 2015

Production reference: 1280715

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78439-390-8

www.packtpub.com

Credits

Author

Brett Lantz

Reviewers

Vijayakumar Nattamai Jawaharlal

Kent S. Johnson

Mzabalazo Z. Ngwenya

Anuj Saxena

Commissioning Editor

Ashwin Nair

Acquisition Editor

James Jones

Content Development Editor

Natasha D'Souza

Technical Editor

Rahul C. Shah

Copy Editors

Akshata Lobo

Swati Priya

Indexer

Monica Ajmera Mehta

Production Coordinator

Arvindkumar Gupta

Cover Work

Arvindkumar Gupta

Project Coordinator

Vijay Kushlani

Proofreader

Safis Editing

About the Author

understand human behavior. A trained sociologist, he was first enchanted by

machine learning while studying a large database of teenagers' social networking

website profiles. Since then, Brett has worked on interdisciplinary studies of cellular

telephone calls, medical billing data, and philanthropic activity, among others. When

not spending time with family, following college sports, or being entertained by his

dachshunds, he maintains

http://dataspelunking.com/

, a website dedicated to

sharing knowledge about the search for insight in data.

This book could not have been written without the support of my

friends and family. In particular, my wife, Jessica, deserves many

thanks for her endless patience and encouragement. My son, Will,

who was born in the midst of the first edition and supplied

much-needed diversions while writing this edition, will be a big

brother shortly after this book is published. In spite of cautionary

tales about correlation and causation, it seems that every time I

expand my written library, my family likewise expands! I dedicate

this book to my children in the hope that one day they will be

inspired to tackle big challenges and follow their curiosity wherever

it may lead.

I am also indebted to many others who supported this book

indirectly. My interactions with educators, peers, and collaborators

at the University of Michigan, the University of Notre Dame, and the

University of Central Florida seeded many of the ideas I attempted

to express in the text; any lack of clarity in their expression is purely

mine. Additionally, without the work of the broader community

of researchers who shared their expertise in publications, lectures,

and source code, this book might not have existed at all. Finally,

I appreciate the efforts of the R team and all those who have

contributed to R packages, whose work has helped bring machine

learning to the masses. I sincerely hope that my work is likewise a

valuable piece in this mosaic.

Brett Lantz

has spent more than 10 years using innovative data methods to

machine_learning_with_r.pdf

Plik z chomika:

Inne pliki z tego folderu:

Inne foldery tego chomika: