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Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition,, фото 1

Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition,

1 319 ₴

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  • Код: spp501303
Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition,
Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition,В наличии
1 319 ₴
+380 (66) 541-32-88
+380 (66) 541-32-88
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Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition, Wolfgang Banzhaf, Penousal Machado, Mengjie Zhang, more купить книгу в Україні

Обкладинка - тверда

Рік видання - 2023

Кількість сторінок - 784

Папір - білий, офсет

Про книгу Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition, Wolfgang Banzhaf, Penousal Machado, Mengjie Zhang, more

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, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning.

Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation) 1st ed. 2024 Edition, Wolfgang Banzhaf, Penousal Machado, Mengjie Zhang, more

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