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Applied Intelligent Decision Making in Machine Learning (Computational Intelligence in Engineering Problem Solving) by Himansu Das (editor), Jitendra Kumar Rout (editor), Suresh Chandra Moharana (editor), Nilanjan Dey (editor) is a nonfiction available to read on EtoBox.
What is Applied Intelligent Decision Making in Machine Learning (Computational Intelligence in Engineering Problem Solving) about?
"The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve t
Who reads Applied Intelligent Decision Making in Machine Learning (Computational Intelligence in Engineering Problem Solving)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Himansu Das (editor), Jitendra Kumar Rout (editor), Suresh Chandra Moharana (editor), Nilanjan Dey (editor)
- Publisher
- CRC Press, Taylor et Francis Group
- Published
- 2021
- Language
- EN
- ISBN
- 9781003049548
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Science
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