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Book synopsis

This book discusses one of the major applications of artificial intelligence: 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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Optimization in Machine Learning and Applications
• Author: Anand J. Kulkarni, Suresh Chandra Satapathy
• Language: English
• Binding: Hardback
• Number of pages: 197
• EAN: 9789811509933
• ID: 24710428
• Publisher: Springer Verlag, Singapore
• Weight: 483 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 10. December 2019

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