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Random Forests with R
Jean-Michel Poggi (Taschenbuch, Englisch)
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Beschreibung
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In… addition, they allow us to consider qualitative and quantitative explanatory variables together, without pre-processing. Moreover, they can be used to process standard data for which the number of observations is higher than the number of variables, while also performing very well in the high dimensional case, where the number of variables is quite large in comparison to the number of observations. Consequently, they are now among the preferred methods in the toolbox of statisticians and data scientists. The book is primarily intended for students in academic fields such as statistical education, but also for practitioners in statistics and machine learning. A scientific undergraduate degree is quite sufficient to take full advantage of the concepts, methods, and tools discussed. In terms of computer science skills, little background knowledge is required, though an introduction to the R language is recommended. Random forests are part of the family of tree-based methods; accordingly, after an introductory chapter, Chapter 2 presents CART trees. The next three chapters are devoted to random forests. They focus on their presentation (Chapter 3), on the variable importance tool (Chapter 4), and on the variable selection problem (Chapter 5), respectively. After discussing the concepts and methods, we illustrate their implementation on a running example. Then, various complements are provided before examining additional examples. Throughout the book, each result is given together with the code (in R) that can be used to reproduce it. Thus, the book offers readersessential information and concepts, together with examples and the software tools needed to analyse data using random forests. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
11.09.2020
Sprache
Englisch
EAN
9783030564841
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Use R!
Sonderedition
Nein
Autor
Jean-Michel Poggi
Seitenanzahl
98
Auflage
1st edition 2020
Einbandart
Taschenbuch
Schlagwörter
Random forests, Machine learning, Classification, Regression, Nearest neighbor, Variable selection, High dimensional data, CART, Decision Trees, Variable Importance, R packages, Supervised Methods, Data Analysis, Interpretable Methods
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
UN - Datenbanken
PSAX - DV-gestützte Biologie/Bioinformatik
JHBC - Sozialforschung und -statistik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Palgrave Macmillan, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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