Advances in Intelligent Data and Information Processing (IDIP2025), Volume 2
Category: eBooks
- views: 72
- date: 24 February 2026
- posted by: BeMyLove
Advances in Intelligent Data and Information Processing (IDIP2025), Volume 2 | 33.5 MB
Title: Advances in Intelligent Data and Information Processing
Author: Witold Pedrycz
Category: Nonfiction, Computers, Database Management, Data Processing, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering
Language: English | 313 Pages | ISBN: 9783032167026
Description:
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.
DOWNLOAD:
https://rapidgator.net/file/fb89cc1e53b6ec11f6d18bbc68be7219/Advances_in_Intelligent_Data_and_Information_Processing_IDIP2025_Volume_2.pdf
https://nitroflare.com/view/1FCCEE033C9A1C5/Advances_in_Intelligent_Data_and_Information_Processing_IDIP2025_Volume_2.pdf
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.
DOWNLOAD:
https://rapidgator.net/file/fb89cc1e53b6ec11f6d18bbc68be7219/Advances_in_Intelligent_Data_and_Information_Processing_IDIP2025_Volume_2.pdf
https://nitroflare.com/view/1FCCEE033C9A1C5/Advances_in_Intelligent_Data_and_Information_Processing_IDIP2025_Volume_2.pdf
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