
Teil der Reihe: Springer Nature Proceedings excluding Computer Science
Advances in Intelligent Data and Information Processing
Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 2
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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.
Produktdetails
- Erscheinungsdatum: 21.02.2026
- Autor/Autorin: Witold Pedrycz
- Reihe: Springer Nature Proceedings excluding Computer Science
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 33.5 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 304 Seiten
- ISBN: 9783032167026
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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Advances in Intelligent Data and Information Processing
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