Data-drivenTechnologies – Bücher, CDs, LPs und mehr, Seite 9

Machine Learning, Optimization, and Data Science

This two-volume set LNCS 16467-16468 constitutes the refereed proceedings of the 11th International Conference on Machine Learning, Optimization, and Data Science, LOD 2025, held in Castiglione della Pesc…

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Christof Niemann-Mall
Data Business: Wie digitale Transformation gelingt

Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, Dat…

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Data Science, Challenges and Applications in Industrial Operations

Lecture Notes on Data Engineering and Communications Technologies - Band 276

This book collects a selection of papers presented at the 19th International Conference on Industrial Engineering and Industrial Management and XXIX Congreso de Ingeniería de Organización (CIO2025), that …

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Christof Niemann-Mall
Data Business: Wie digitale Transformation gelingt

Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, Dat…

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Transactions on Large-Scale Data- and Knowledge-Centered Systems LVIII

Storing and Querying Evolving Graphs in NoSQL Storage Models.- Data Assetization Journey: Concepts, Principles, and Illustrations.- Do Echo Top Heights Improve Deep Learning Rainfall Nowcasts? A Case Stud…

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Ines Adouani, Chafik Samir
Regression and Fitting on Manifold-valued Data

This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied a…

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Martin Kleppmann, Chris Riccomini
Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's a…

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Michael Roberts
The Data Book for Educators Who Don't Like Data (and Those Who Want to Use Data Better)

Data is one of the most powerful guides to instructional efficacy, revealing insights about the students you serve. Author Michael Roberts challenges educators to move past correlative data to active, dat…

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Proceedings of the 4th International Conference on¿ Big Data and Artificial Intelligence Applications (ICBDAIA'25)

Lecture Notes in Networks and Systems - Band 1724

This book presents innovative research exploring the convergence of Artificial Intelligence, Big Data, and Cybersecurity. It highlights novel methodologies and real-world applications that address technol…

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Dharini Balasubramaniam,
Click, Connect, Compute: Data, Big and Small

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the detai…

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Dharini Balasubramaniam,
Click, Connect, Compute: Data, Big and Small

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the detai…

lieferbar in mind. 4 Wochen

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

Springer Undergraduate Texts in Mathematics and Technology

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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Annotation of Real-World Data for Artificial Intelligence Systems

Communications in Computer and Information Science - Band 2706

This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25…

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Accelerating Discoveries in Data Science and Artificial Intelligence I

Springer Proceedings in Mathematics & Statistics - Band 421

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Ac…

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Luca Belli, Walter Britto Gaspar
Personal Data Architectures in the Brics Countries

The BRICS nations-Brazil, Russia, India, China, and South Africa-recently committed, as enshrined in their 2024 Declaration, to jointly promoting a global framework for data governance. As the number of n…

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Heath Rose, Jim Mckinley, Sihan Zhou
Data Collection Research Methods in Applied Linguistics

The second edition of Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in colle…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Digital Tools and Data for Innovative Healthcare

Digital Tools and Data for Innovative Healthcare: A Vision for Healthier and More Inclusive Societies is an invaluable resource for addressing the critical needs of healthcare professionals and researcher…

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Data-Driven Decision Making for Product Service Systems

This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the co…

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Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala
AI Data Center Network Design and Technologies

Artificial intelligence is redefining the scale, architecture, and performance expectations of modern data centers. Training large ML models demand infrastructure capable of moving massive data sets throu…

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