Hands-On Ensemble Learning with R A Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques

This book introduces you to the concept of ensemble learning and demonstrates how different machine learning algorithms can be combined to build efficient machine learning models. Use R to implement the popular trilogy of ensemble techniques, i.e. bagging, random forest and boosting, to build faster...

Full description

Saved in:
Bibliographic Details
Main Author Tattar, Prabhanjan Narayanachar
Format eBook
LanguageEnglish
Published Birmingham Packt Publishing, Limited 2018
Edition1
Subjects
Computer algorithms
Machine learning
R (Computer program language)
Online AccessGet full text
ISBN9781788624145
1788624149
DOI10.0000/9781788629171

Cover

More Information
Summary:This book introduces you to the concept of ensemble learning and demonstrates how different machine learning algorithms can be combined to build efficient machine learning models. Use R to implement the popular trilogy of ensemble techniques, i.e. bagging, random forest and boosting, to build faster and more accurate machine learning models.
ISBN:9781788624145
1788624149
DOI:10.0000/9781788629171