Robin Genuer's Books

Random Forests with R

By: Robin Genuer,Jean-Michel Poggi

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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 readers essential information and concepts, together with examples and the software tools needed to analyse data using random forests.

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107

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Springer Nature

Published Date

ISBN 10

3030564851

ISBN 13

9783030564858

Random Forests with R

By: Robin Genuer,Jean-Michel Poggi

Write a review Read reviews Take a Quiz Solve Book Puzzle

Random Forests with R

By: Robin Genuer,Jean-Michel Poggi

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Page Count

107

Publisher

Springer Nature

Published Date

ISBN 10

3030564851

ISBN 13

9783030564858

My Song to My Son

By: Barbara Farrell-Moshier Brown

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My Song to My Son

By: Barbara Farrell-Moshier Brown

A song for my son, was written for you change the name and see what kids do. Imaginations are far and few have fun with them also becomes fun for you With learning or play sing kids a song it makes fun for the day. If you rock them to sleep or comfort a fall sooth a baby's belly, a song will cure it all.

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Christian Faith Publishing, Incorporated

Published Date

ISBN 10

1098072480

ISBN 13

9781098072483

Book's by Robin Genuer

Random Forests with R

Random Forests with R

Random Forests with R

Random Forests with R

My Song to My Son

My Song to My Son

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