Applied Predictive Modeling 1st ed. 2013, Corr. 2nd printing 2018 Edition

4.5 out of 5 stars 132 ratings
ISBN-13: 978-1461468486
ISBN-10: 1461468485
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Frequently bought together

  • Applied Predictive Modeling
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  • An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Editorial Reviews

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"There are a wide variety of books available on predictive analytics and data modeling around the web...we've carefully selected the following 10 books, based on relevance, popularity, online ratings, and their ability to add value to your business.  1.  Applied Predictive Modeling."  (Timothy King, Business Intelligence Solutions Review, solutions-review.com, June, 2015)


"I used this as a supplement in teaching a data science course that I use a range of different resources because I need to cover working with data, model evaluation, and machine learning methods. The next time I teach this course, I will use only this book because it covers all of these aspects of the field."  (Louis Luangkesorn, lugerpitt.blogspot.com, June, 2015)

"This is such a good book it has taken me awhile to work through the book.  All the while finding examples of why people should read the book...Well thought out examples with the R packages and example code. Take your time and work through this book."  (Mary Anne, Cats and Dogs with Data, maryannedata.com, February, 2015)

"This monograph presents a very friendly practical course on prediction techniques for regression and classification models...The authors are recognized experts in modeling and forecasting , as well as developers of R packages and statistical methodologies...It is a well-written book very useful to students and practitioners who need an immediate and helpful way to apply complex statistical techniques."  (Stan Lipovetsky, Technometrics, Vol. 56 (3), August, 2014)

"There are hundreds of books that have something worthwhile to say about predictive modeling. However, in my judgment, Applied Predictive Modeling by Max Kuhn and Kjell Johnson (Springer 2013) ought to be at the very top of the reading list ...They come across like coaches who really, really want you to be able to do this stuff. They write simply and with great clarity...Applied Predictive Modeling is a remarkable text...it is the succinct distillation of years of experience of two expert modelers...."  (Joseph Rickert, blog.revolutionanalytics.com, June, 2014)

Review

"This strong, technical, hands-on treatment clearly spells out the concepts, and illustrates its themes tangibly with the language R, the most popular open source analytics solution." (Eric Siegel, Ph.D. Founder, Predictive Analytics World, Author, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die)


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4.5 out of 5 stars
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132 customer ratings
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Reviewed in the United States on January 9, 2018
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Reviewed in the United States on December 20, 2016
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Reviewed in the United States on October 9, 2018
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Reviewed in the United States on June 6, 2018
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Reviewed in the United States on April 24, 2020
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Top international reviews

JassiLally
5.0 out of 5 stars Outstanding book - every analyst should have this in their library
Reviewed in the United Kingdom on April 9, 2017
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B. OSullivan
5.0 out of 5 stars I find the mathematics is at a level I can comfortably comprehend. The early section on preparing data is ...
Reviewed in the United Kingdom on April 3, 2018
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5.0 out of 5 stars Realistic data analysis
Reviewed in the United Kingdom on August 25, 2014
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Joshua Hruzik
4.0 out of 5 stars All Essentials with R Examples
Reviewed in Germany on December 22, 2019
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Conrad T.
4.0 out of 5 stars Carets Package
Reviewed in Australia on December 26, 2018
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Gary Bowers
5.0 out of 5 stars Predictive Analytics
Reviewed in Canada on November 30, 2013
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Tomohiro Nozaki
2.0 out of 5 stars Very advanced with too much text that's hard to foloow
Reviewed in Canada on August 14, 2018
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Girish
5.0 out of 5 stars holistic guide to applying Predictive Modelling concepts that essentially covers the whole process in the most easy, lucid and s
Reviewed in India on March 1, 2015
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Joao Rafael D. Pinto
5.0 out of 5 stars Imprescindível para modeleiros
Reviewed in Brazil on June 3, 2017
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Donald
5.0 out of 5 stars Certainly one of the best books on Predictive Modeling
Reviewed in Germany on April 11, 2015
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Muthu
5.0 out of 5 stars This book is the best of it's class
Reviewed in India on November 10, 2017
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Amazon Customer
5.0 out of 5 stars On my list most enjoyable technical reads
Reviewed in Canada on January 16, 2016
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Andrea Schioppa
5.0 out of 5 stars great book
Reviewed in Germany on February 9, 2016
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Emilio
5.0 out of 5 stars Excellent book
Reviewed in Australia on January 8, 2020
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Javier Villcampa González
5.0 out of 5 stars One of the best summaries about ML in the asctual market
Reviewed in Spain on May 25, 2016
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