| Optimization in Machine Learning and Applications 2020 Edition Contributor(s): Kulkarni, Anand J. (Editor), Satapathy, Suresh Chandra (Editor) |
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ISBN: 981150993X ISBN-13: 9789811509933 Publisher: Springer OUR PRICE: $170.99 Product Type: Hardcover - Other Formats Published: December 2019 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Mathematics | Applied - Computers | Programming - Algorithms |
| Dewey: 005.1 |
| Series: Algorithms for Intelligent Systems |
| Physical Information: 0.5" H x 6.14" W x 9.21" (1.03 lbs) 197 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |