Articles liés à Predictive Modeling and Analytics

Predictive Modeling and Analytics - Couverture souple

Strickland, Jeffrey

 
9781312375444: Predictive Modeling and Analytics
Couverture souple
ISBN 10 : 1312375442 ISBN 13 : 9781312375444
Editeur : Lulu.com, 2014

Synopsis

This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, the reader should have a basic understanding of statistics (statistical inference, models, tests, etc.)—this is an advanced book. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this as a textbook with problem solving in R (there are no “by-hand” exercises).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, the reader should have a basic understanding of statistics (statistical inference, models, tests, etc.)-this is an advanced book. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of Unix platforms, Windows and MacOs. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this as a textbook with problem solving in R (there are no "by-hand" exercises).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Lulu.com
Date d'édition
2014
Langue
anglais
ISBN 10 
1312375442
ISBN 13 
9781312375444
Reliure
Broché
Nombre de pages
488
Coordonnées du fabricant
non disponible
Personne responsable
HACHETTE LIVRE SA
https://www.hachette.fr/

1 AVENUE GUTENBERG
MAUREPAS CEDEX
78319
France