Applied Predictive Modeling (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
600
Utgivningsdatum
2013-05-17
Upplaga
1st ed. 2013, Corr. 2nd printing 2018
Förlag
Springer-Verlag New York Inc.
Medarbetare
Johnson, Kjell
Illustratör/Fotograf
10 schwarz-weiße Tabellen 30 farbige Abbildungen
Illustrationer
296 Illustrations, color; 14 Illustrations, black and white; XIII, 600 p. 310 illus., 296 illus. in
Dimensioner
236 x 163 x 38 mm
Vikt
999 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9781461468486

Applied Predictive Modeling

av Max Kuhn, Kjell Johnson
(1 röst)  |  Läs 1 recension
Inbunden,  Engelska, 2013-05-17
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Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioners reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the books R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
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Det finns 1 recension av Applied Predictive Modeling. Har du också läst boken? Om du har köpt den på Bokus.com vill vi gärna höra vad du tyckte om den! Sätt ditt betyg »
  1. Bästa boken för introduktion till Machine Learning
    filipw, 13 november 2018

    Pedagogisk men inte för enkel introduktion till Machine Learning. Bra tips och R-kod. R-koden är några år gammal men jag upplever att den fungerar idag, även om nya tekniker utvecklats.

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Recensioner i media

In teaching a data science courseI 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) There are a wide variety of books available on predictive analytics and data modeling around the webweve 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) "Applied Predictive Modeling aims to expose many of these techniques in a very readable and self-contained book. This is a very applied and hands-on book. It guides the reader through many examples that serve to illustrate main points, and it raises possible issues and considerations that are oftentimes overlooked or not sufficiently reflected upon. Highly recommended." (Bojan Tunguz, tunguzreview.com, June 2015) This monograph presents a very friendly practical course on prediction techniques for regression and classification models 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) 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 thisApplied Predictive Modeling is a remarkable textit is the succinct distillation of years of experience of two expert modelers (Joseph Rickert, blog.revolutionanalytics.com, June 2014)

Övrig information

Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms.

Innehållsförteckning

General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices.

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