From the Inside Flap
"This book by Seni and Elder provides a timely, concise introduction to this topic. After an intuitive, highly accessible sketch of the key concerns in predictive learning, the book takes the readers through a shortcut into the heart of the popular tree-based ensemble creation strategies, and follows that with a compact yet clear presentation of the developments in the frontiers of statistics, where active attempts are being made to explain and exploit the mysteries of ensembles through conventional statistical theory and methods."
-- Tin Kam Ho, Bell Labs, Alcatel-Lucent
"The practical implementations of ensemble methods are enormous. Most current implementations of them are quite primitive and this book will definitely raise the state of the art. Giovanni Seni's thorough mastery of the cutting-edge research and John Elder's practical experience have combined to make an extremely readable and useful book."
-- Jaffray Woodriff, Quantitative Investment Management
About the Author
The authors are industry experts in data mining and machine learning who are also adjunct professors and popular speakers. Although early pioneers in discovering and using ensembles, they here distill and clarify the recent groundbreaking work of leading academics (such as Jerome Friedman) to bring the benefits of ensembles to practitioners.