Advances Intelligent Data Information (55 results)

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

Paperback. Condition: Brand New. 240 pages. 9.25x6.10x0.79 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Advances in Data Science, ICIIT 2018, held in Chennai, India, in December 2018.The 11 full papers along with 4 short papers presented were carefully reviewed and selected from 74 submissions.The papers are organized in topical sections ondata science foundations, data management and processing technologies, data analytics and its applications.…

Taschenbuch. Condition: Neu. Advances in Data Science | Third International Conference on Intelligent Information Technologies, ICIIT 2018, Chennai, India, December 11-14, 2018, Proceedings | Leman Akoglu (u. a.) | Taschenbuch | xxxviii | Englisch | 2018 | Springer | EAN 9789811335815 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.

Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.

Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Taschenbuch. Condition: Neu. Advances in Intelligent Data and Information Processing | Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 2 | Witold Pedrycz (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | ix | Englisch | 2026 | Springer | EAN 9783032167019 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Advances in Intelligent Data and Information Processing | Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1 | Witold Pedrycz (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | ix | Englisch | 2026 | Springer | EAN 9783032167040 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condition: New. pp. 1188 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Paperback. Condition: Brand New. 313 pages. 6.14x0.67x9.21 inches. In Stock.

Condition: New.

Paperback. Condition: Brand New. 341 pages. 6.10x0.78x9.25 inches. In Stock.

Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condition: New. In English.

Condition: New. In English.

Condition: New.