Data Analysis and Related Applications 3 (PDF)
Theory and Practice, New Approaches
(Sprache: Englisch)
The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research,...
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The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.
The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.
Bibliographische Angaben
- 2024, 1. Auflage, 304 Seiten, Englisch
- Herausgegeben: Yiannis Dimotikalis, Christos H. Skiadas
- Verlag: John Wiley & Sons
- ISBN-10: 1394284047
- ISBN-13: 9781394284047
- Erscheinungsdatum: 10.04.2024
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- Grösse: 7.59 MB
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Englisch
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