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Can I read Automated Design of Machine Learning and Search Algorithms (Natural Computing Series) on EtoBox?

Automated Design of Machine Learning and Search Algorithms (Natural Computing Series) by Nelishia Pillay; Rong Qu, (Computer science professor) is a nonfiction available to read on EtoBox.

What is Automated Design of Machine Learning and Search Algorithms (Natural Computing Series) about?

"This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future directions in this fast-developing area. Methods have been developed to automate the design of neural networks, heuristics and metaheuristics using techniques such as metaheuristics, statistical techniques, machine learning and hyper-heuristics. The book first defines the field of automated design, distinguishing it from the similar but different topics of automated algorithm configuration and automated algorithm selection. The chapters report on the current state of the art by experts in the field and include reviews of AutoML and automated design of search, theoretical analyses of automated algorithm design, automated design of control software for robot swarms, and overfitting as a benchmark and design tool. Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with transfer knowledge and automated design of classification algorithms. The book concludes by exa

Who reads Automated Design of Machine Learning and Search Algorithms (Natural Computing Series)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Nelishia Pillay; Rong Qu, (Computer science professor)
Publisher
Springer International Publishing AG
Published
2021
Language
EN
ISBN
9783030720698
Category
nonfiction
Subjects
Computer Science, Mathematics, Science

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