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

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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Applied Artificial Intelligence for Drug Discovery

The integration of artificial intelligence (AI) into pharmaceutical research has redefined the landscape of drug discovery, enabling unprecedented advances across data integration, molecular design, clini…

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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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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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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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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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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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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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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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Intelligent Data Engineering and Automated Learning - IDEAL 2025

Lecture Notes in Computer Science - Band 16238

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

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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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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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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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Intelligent Data Engineering and Automated Learning - IDEAL 2025

Lecture Notes in Computer Science - Band 16239

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

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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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Applied Computational Intelligence, Informatics and Big Data

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Band 616

This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 2…

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Big Data und KI bei der Polizei

Die Verarbeitung großer Datenmengen zum Zweck der Informationsgewinnung ist zentraler Bestandteil sicherheitsbehördlicher Tätigkeit im Rahmen der Gefahrenabwehr und der Strafverfolgung. In der Folge ist i…

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Framing Futures in Postdigital Education

Postdigital Science and Education

This book unpacks key concepts and methods relevant for a critical and reflective framing of futures in postdigital education. The compiled chapters explore concepts and methods that have pertinence for c…

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Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

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