Advances in Intelligent Data and Information Processing | Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1
Witold Pedrycz (u. a.)
ISBN 10: 3032167043 ISBN 13: 9783032167040
Verlag: Springer, 2026
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Beschreibung
Beschreibung:
Advances in Intelligent Data and Information Processing | Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1 | Witold Pedrycz (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | ix | Englisch | 2026 | Springer | EAN 9783032167040 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 134946061
Inhaltsangabe:
This book integrates practical engineering insights with cutting-edge AI/ML methodologies to address real-world intelligent data processing challenges, prioritizing actionable solutions over theoretical abstraction. By bridging algorithmic foundations with industry-specific use cases, it equips readers to translate technical concepts into deployable systems efficiently.
Unlike traditional texts that silo theory and practice, this approach embeds hands-on implementation frameworks, including data preprocessing pipelines, model optimization techniques, and scalability strategies, directly within contextualized problem-solving scenarios. Covering core topics from edge AI deployment to large-scale data analytics, it spans both foundational principles and emerging trends like federated learning and real-time processing.
Tailored for IT professionals, computer science practitioners, and engineering researchers, it also serves as a valuable resource for graduate students specializing in data science or intelligent systems. Ideal for upskilling, project reference, or curriculum supplementation, it empowers readers to tackle complex data-intensive tasks with confidence in academic, corporate, or R&D settings.
Von der hinteren Coverseite:
This book integrates practical engineering insights with cutting-edge AI/ML methodologies to address real-world intelligent data processing challenges, prioritizing actionable solutions over theoretical abstraction. By bridging algorithmic foundations with industry-specific use cases, it equips readers to translate technical concepts into deployable systems efficiently.
Unlike traditional texts that silo theory and practice, this approach embeds hands-on implementation frameworks, including data preprocessing pipelines, model optimization techniques, and scalability strategies, directly within contextualized problem-solving scenarios. Covering core topics from edge AI deployment to large-scale data analytics, it spans both foundational principles and emerging trends like federated learning and real-time processing.
Tailored for IT professionals, computer science practitioners, and engineering researchers, it also serves as a valuable resource for graduate students specializing in data science or intelligent systems. Ideal for upskilling, project reference, or curriculum supplementation, it empowers readers to tackle complex data-intensive tasks with confidence in academic, corporate, or R&D settings.
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Bibliografische Details
Titel: Advances in Intelligent Data and Information...
Verlag: Springer
Erscheinungsdatum: 2026
Einband: Taschenbuch
Zustand: Neu