Optimization in Machine Learning and Applications

Download or Read eBook Optimization in Machine Learning and Applications PDF written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2019-11-29 with total page 202 pages. Available in PDF, EPUB and Kindle.
Optimization in Machine Learning and Applications
Author :
Publisher : Springer Nature
Total Pages : 202
Release :
ISBN-10 : 9789811509940
ISBN-13 : 9811509948
Rating : 4/5 (40 Downloads)

Book Synopsis Optimization in Machine Learning and Applications by : Anand J. Kulkarni

Book excerpt: 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.


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