 Название: Optimization in Machine Learning and Applications
Автор: Anand J. Kulkarni, Suresh Chandra Satapathy
Издательство: Springer
Серия: Algorithms for Intelligent Systems
Год: 2020
Страниц: 202
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
This book discusses one of the major applications of Artificial Iintelligence (AI): the use of Machine Learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.
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Optimization in Machine Learning and Applications 
