In this book the authors discuss several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. They show how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems, and thus help developers improve their algorithms and also develop learning systems that can improve themselves. The new edition is a significant expansion on the original. The authors introduce the recent AutoML approach and clarify its relationship to metalearning, and they explain the automation of the design methods of chains of operations. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.

Book Information
ISBN 9783030670238
Author Pavel Brazdil
Format Hardback
Page Count 382
Imprint Springer Nature Switzerland AG
Publisher Springer Nature Switzerland AG
Weight(grams) 155g