Nature Inspired Computing For Data Science

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Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science
Author :
Publisher : Springer Nature
Total Pages : 303
Release :
ISBN-10 : 9783030338206
ISBN-13 : 3030338207
Rating : 4/5 (207 Downloads)

Book Synopsis Nature Inspired Computing for Data Science by : Minakhi Rout

Download or read book Nature Inspired Computing for Data Science written by Minakhi Rout and published by Springer Nature. This book was released on 2019-11-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.


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As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field