Himansu (Hrsg.) Das
Nature Inspired Computing for Data Science
Buch
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…
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Beschreibung
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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Produktdetails
Weitere Autoren: Rout, Jitendra Kumar (Hrsg.) / Rout, Minakhi (Hrsg.)
- ISBN: 978-3-030-33819-0
- EAN: 9783030338190
- Produktnummer: 33448214
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 312 S.
- Masse: H24.1 cm x B16.0 cm x D2.2 cm 635 g
- Auflage: 1st ed. 2020
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 635
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