Name: Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (I (en Inglés)
SKU: 66918894
Price: 3800.61 MXN
Availability: InStock
Author: Pedrycz, Witold; Wang, John; Tseng, Kuo-Kun
ISBN: 9783032167040

portada Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (I (en Inglés)

Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (I (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Pedrycz, Witold; Wang, John; Tseng, Kuo-Kun

Año

2026

Idioma

Inglés

N° páginas

332

Encuadernación

Tapa Blanda

Dimensiones

23.5x15.5 cm

ISBN13

9783032167040

Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (I (en Inglés)

Pedrycz, Witold; Wang, John; Tseng, Kuo-Kun (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 24 a 29 días háb.

$ 7,601.22$ 3,800.61

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 3,800.61

¡Envío Gratis! Llega entre el 17 Dic y el 28 Dic a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (I (en Inglés)"

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.