Название: Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for OptimizationАвтор: Rachid Chelouah, Patrick Siarry
Издательство: Wiley
Год: 2022
Страниц: 255
Язык: английский
Формат: pdf (true), epub (true)
Размер: 18.1 MB
Machine Learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and Machine Learning, and to demonstrate how to apply them in the fields of engineering. The fields of Machine Learning and optimization are highly interwoven. Optimization problems form the core of Machine Learning methods and modern optimization algorithms are using Machine Learning more and more to improve their efficiency. Machine Learning has applications in all areas of science. There are many learning methods, each of which uses a different algorithmic structure to optimize predictions, based on the data received. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on Machine Learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on Machine Learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.
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