Nature Inspired Computing for Data Science
2020 ed.
Book Details
Format
Paperback / Softback
Book Series
Studies in Computational Intelligence
ISBN-10
3030338223
ISBN-13
9783030338220
Edition
2020 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 24th, 2021
Print length
295 Pages
Product Classification:
DatabasesDatabases / Data managementArtificial intelligenceArtificial intelligence (AI)
Ksh 16,200.00
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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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