Can I read Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) on EtoBox?

Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) by Wolfgang Banzhaf (editor), Penousal Machado (editor), Mengjie Zhang (editor) is a nonfiction available to read on EtoBox.

What is Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) about?

This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finan

Who reads Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation)?

Author

Wolfgang Banzhaf (editor), Penousal Machado (editor), Mengjie Zhang (editor)

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2023

Language

EN

ISBN

9789819938131

Category

nonfiction

Subjects

Mathematics, Engineering, Computer Science