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

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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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…

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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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Abdul Wasy Zia, Md Faiyazuddin
Data-Driven Pharmaceutical Processing and Drug Development

Apply artificial intelligence and machine learning techniques across drug development and manufacturingPharmaceutical professionals face mounting pressure to accelerate drug development while maintaining …

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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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Hamidreza Arasteh
Data-Driven Energy Management and Tariff Optimization in Power Systems

Presents a comprehensive guide to transforming power systems through dataData-Driven Energy Management and Tariff Optimization in Power Systems offers an authoritative examination of how data science is r…

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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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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 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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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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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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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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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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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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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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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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Environmental Policy Science's Exploration for Innovative Data

Natural Resource Management and Policy - NA

This edited volume discusses the use of nontraditional data sources in environmental political research and its implications for policymaking. Researchers involved in natural resource investigations and p…

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AI and Data Science in Healthcare 5.0

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in mod…

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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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