Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Zistiť stav objednávky

Staňte sa súčasťou komunity milovníkov kníh z celého sveta a získajte hromadu výhod. Založiť účet zdarma

Doprava zadarmo s Packetou nad 59.99 €

Kuriér DPD 2.99 € Zberné miesto GLS 2.49 € SPS 3.99 € SPS Parcel Shop 2.99 € Packeta kurýr 3.99 € Pošta 3.99 € Zberné miesto DPD 2.99 € Kuriér GLS 3.99 € Packeta 2.99 €

Kontakt

Ako nakupovať

Pomoc

Môj účet

▸ Prázdny :-(

Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Advances in Intelligent Data and Information Processing

Name: Advances in Intelligent Data and Information Processing
Brand: Springer, Berlin
SKU: 50211162
Price: 205.74 EUR
Availability: InStock
Author: Witold Pedrycz
ISBN: 9783032167040

Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025). Volume 1

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 50211162

Nakladateľstvo Springer, Berlin, február 2026

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

Libristo kód: 50211162

498 b

205.74 €

Skladom u dodávateľa Odosielame za 5-8 dní

30 dní na vrátenie tovaru

Mohlo by vás tiež zaujímať

Conflagration Teri-Anne

Pevná

31.25 €

The Lost Prince Frances Hodgson Burnett

Brožovaná

14.05 €

Korean 4 Character Idioms: 30 Words with Interesting Stories Wiseinit

Brožovaná

8.08 €

Marino's The ICU Book Marino

Brožovaná

88.91 €

A Kiss with a Cat Omnibus 1

Brožovaná

19.92 €

Advances in Computational and Theoretical Chemistry Nadia Faska

Brožovaná

242.06 €

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.