Nature Inspired Computing for Data Science: 871 (Studies in Computational Intelligence) - Softcover

 
9783030338220: Nature Inspired Computing for Data Science: 871 (Studies in Computational Intelligence)

Inhaltsangabe

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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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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9783030338190: Nature Inspired Computing for Data Science: 871 (Studies in Computational Intelligence)

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ISBN 10:  3030338193 ISBN 13:  9783030338190
Verlag: Springer, 2020
Hardcover