Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Preverjanje stanja naročila

Postanite del skupnosti ljubiteljev knjig z vsega sveta in uživajte v številnih ugodnostih. Ustvarite brezplačen račun

Brezplačna dostava Zásilkovna nad 69.99 €

Zbirna točka GLS 4.49 € Zbirna točka DPD 2.99 € Kurirska služba GLS 5.49 € Kurir DPD 3.49 € Kurirska služba Express One 3.49 € Zbirno mesto Express One 3.49 € Zbirno mesto Pošte Slovenije 3.49 € Dostava preko Pošte Slovenije 3.49 €

Kontakt

Kako nakupovati

Pomoč

Moj račun

▸ Prazna :-(

Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Advances in Intelligent Data and Information Processing

Name: Advances in Intelligent Data and Information Processing
Brand: Springer, Berlin
SKU: 50211161
Price: 194.31 EUR
Availability: InStock
Author: Witold Pedrycz
ISBN: 9783032167019

Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025). Volume 2

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 50211161

Založba Springer, Berlin, februar 2026

This book integrates practical engineering insights with cutting-edge AI/ML methodologies to address... Celoten opis

Koda Libristo: 50211161

471 b

194.31 €

Na zalogi pri dobavitelju Odposlali bomo v 5-8 dneh

Do 30 dni za vračilo

Drugi so kupili tudi

Electrónica desatada

Mehka

36.87 €

Vinland saga Makoto Yukimura

Mehka

7.57 €

Les Balesta Bosco

Mehka

19.90 €

CAHIER THIBAULT SEYES,96P,A5 VOITURES

Rokovnik

9.89 €

Afghanistan Beverage Industries Mariam T. Tennoe

Mehka

113.67 €

Untersuchungen uber die lyrischen Trouveres belges des XII .- XIV. Jahrhunderts JOSEPH SPIES

Mehka

11.00 €

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.