Optimization in Machine Learning and Applications (1st ed. 2020) (Algorithms for Intelligent Systems)
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- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811509940
- Related ISBNs:
- 9789811509933
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 05/27/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Suresh Chandra Satapathy
- Edited by:
- Anand J. Kulkarni
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- by Suresh Chandra Satapathy
- by Anand J. Kulkarni
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics