Elmar Rueckert (27 results)

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  • Language: English

    Published by Springer Verlag, Singapore, Singapore, 2026

    9819575915 / 9789819575916

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    Paperback. Condition: new. Paperback. This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analysis, and practical applications of machine learning.The textbook is designed for first-semester undergraduate students. The material introduces essential concepts in a clear and approachable way, offering a foundation in data-driven decision-making and predictive modeling.The content is aligned with the lectures of Prof. Dr. Elmar Rueckert and will be expanded further during the lecture series, making it a comprehensive guide to understanding the world of data and its applications.Structure of the Book: The chapters cover: Fundamentals of Data Modeling Processes and Data Granularity Sensors and Data Information Theory Data Analysis Machine Learning: Data Organization Machine Learning: Selected ApplicationsTo support hands-on learning, the book also includes interactive Jupyter Notebooks that illustrate key concepts through practical exercises. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Language: English

    Published by Springer Verlag, Singapore, 2026

    9819575915 / 9789819575916

    • Softcover

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    Paperback. Condition: Brand New. 127 pages. 6.10x0.29x9.25 inches. In Stock.

  • Language: English

    Published by Springer, 2026

    9819575915 / 9789819575916

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  • Language: English

    Published by Springer, 2026

    9819575915 / 9789819575916

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analysis, and practical applications of machine learning.The textbook is designed for first-semester undergraduate students. The material introduces essential concepts in a clear and approachable way, offering a foundation in data-driven decision-making and predictive modeling.The content is aligned with the lectures of Prof. Dr. Elmar Rueckert and will be expanded further during the lecture series, making it a comprehensive guide to understanding the world of data and its applications.Structure of the Book: The chapters cover: Fundamentals of Data Modeling Processes and Data Granularity Sensors and Data Information Theory Data Analysis Machine Learning: Data Organization Machine Learning: Selected ApplicationsTo support hands-on learning, the book also includes interactive Jupyter Not Elektronisches Buch that illustrate key concepts through practical exercises.…

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

    • Softcover

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  • Language: English

    Published by Springer 2021-09, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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    Condition: New. In English.

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, 2026

    9819575915 / 9789819575916

    • Softcover

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    Taschenbuch. Condition: Neu. Data Modeling | From Physical Processes to Machine Learning | Elmar Rueckert | Taschenbuch | xiii | Englisch | 2026 | Springer | EAN 9789819575916 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

    • Softcover

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  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected from 59 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.…

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

    • Softcover

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

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. KI 2021: Advances in Artificial Intelligence | 44th German Conference on AI, Virtual Event, September 27 - October 1, 2021, Proceedings | Stefan Edelkamp (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xviii | Englisch | 2021 | Springer | EAN 9783030876258 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Language: English

    Published by Springer Verlag, Singapore Aug 2026, 2026

    9819575915 / 9789819575916

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analysis, and practical applications of machine learning.The textbook is designed for first-semester undergraduate students. The material introduces essential concepts in a clear and approachable way, offering a foundation in data-driven decision-making and predictive modeling.The content is aligned with the lectures of Prof. Dr. Elmar Rueckert and will be expanded further during the lecture series, making it a comprehensive guide to understanding the world of data and its applications.Structure of the Book: The chapters cover: Fundamentals of Data Modeling Processes and Data Granularity Sensors and Data Information Theory Data Analysis Machine Learning: Data Organization Machine Learning: Selected ApplicationsTo support hands-on learning, the book also includes interactive Jupyter Not Elektronisches Buch that illustrate key concepts through practical exercises. 114 pp. Englisch. …

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, 2026

    9819575915 / 9789819575916

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  • Language: English

    Published by Springer, 2026

    9819575915 / 9789819575916

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by Springer Verlag GmbH, 2026

    9819575915 / 9789819575916

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Language: English

    Published by Springer Nature Singapore Aug 2026, 2026

    9819575915 / 9789819575916

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analysis, and practical applications of machine learning.The textbook is designed for first-semester undergraduate students. The material introduces essential concepts in a clear and approachable way, offering a foundation in data-driven decision-making and predictive modeling.The content is aligned with the lectures of Prof. Dr. Elmar Rueckert and will be expanded further during the lecture series, making it a comprehensive guide to understanding the world of data and its applications.Structure of the Book: The chapters cover: Fundamentals of Data Modeling Processes and Data Granularity Sensors and Data Information Theory Data Analysis Machine Learning: Data Organization Machine Learning: Selected ApplicationsTo support hands-on learning, the book also includes interactive Jupyter Not Elektronisches Buch that illustrate key concepts through practical exercises.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 114 pp. Englisch. …

  • Language: English

    Published by Springer International Publishing Sep 2021, 2021

    303087625X / 9783030876258

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected from 59 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research. 396 pp. Englisch.…

  • Language: English

    Published by Springer, Berlin|Springer International Publishing|Springer, 2021

    303087625X / 9783030876258

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended ab.…

  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Springer, 2021

    303087625X / 9783030876258

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  • Language: English

    Published by Springer, Springer Sep 2021, 2021

    303087625X / 9783030876258

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Circulant Maximum Variance Bases.- Quantified Boolean Solving for Achievement Games.- Knowledge Graph Based Question Answering System for Financial Securities.- Semi-unsupervised Learning: An In-depth Parameter Analysis.- Combining Transformer Generators with Convolutional Discriminators.- Explanation as a process: user-centric construction of multi-level and multi-modal explanations.- Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations.- A high-speed neural architecture search considering the number of weights.- Semantic Segmentation of Aerial Images using Binary Space Partitioning.- EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data.- Selective Pseudo-label Clustering.- Crop it, but not too much: the effects of mask-based image preprocessing on the classification of skin lesions . . . . A Demonstrator for Interactive Image Clustering and Fine-Tuning Neural Networks in Virtual Reality.- HUI-Audio-Corpus-German: A high quality TTS dataset.- Negation in Cognitive Reasoning.- Learning to Detect Adversarial Examples Based on Class Scores.- An agent architecture for knowledge discovery and evolution.- Demystifying Artificial Intelligence for End-Users: Findings from a Participatory Machine Learning Show.- Recent Advances in Counting and Sampling Markov Equivalent DAGs.- Approach to Reduce the Number of Conditional Independence Tests in the PC Algorithm.- Unsupervised Anomaly Detection for Financial Auditing with Model-Agnostic Explanations.- Approximation of Symmetries in Dynamic Probabilistic Relational Models.- Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata.- Critic Guided Segmentation of Rewarding Objects in First-Person Views.-Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction.- BehavE: Behaviour Understanding through Automated Generation of Situation Models.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 396 pp. Englisch.…