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Advances in Intelligent Data and Information Processing Volume 1

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Advances in Intelligent Data and Information Processing Volume 1 Synopsis

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.

About This Edition

ISBN: 9783032167040
Publication date:
Author: International Conference on Intelligent Data and Information Processing
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Paperback
Pagination: 332 pages
Series: Lecture Notes in Networks and Systems
Genres: Databases
Artificial intelligence

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