Optimization in Machine Learning and Applications

Optimization in Machine Learning and Applications

Anand J. Kulkarni, Suresh Chandra Satapathy
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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.

Anno:
2020
Edizione:
1st ed. 2020
Casa editrice:
Springer Singapore
Lingua:
english
ISBN 10:
9811509948
ISBN 13:
9789811509940
Collana:
Algorithms for Intelligent Systems
File:
PDF, 5.55 MB
IPFS:
CID , CID Blake2b
english, 2020
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