Isbn: 9789819575916 - data modeling: from physical processes to machine learning (10 risultati)

Paperback. Condizione: 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.…

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

Condizione: New.

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: 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. …

Taschenbuch. Condizione: 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. …

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Taschenbuch. Condizione: 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. …