Data-DrivenModelsofNeutropenia – Bücher, CDs, LPs und mehr, Seite 6

Computational Intelligence in Data Science

The three-volume set IFIP ICCIDS 748, 749 and 750 constitutes the refereed post-conference proceedings of the 8th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS …

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Big Data im deutschen Gesundheitswesen - Handlungsempfehlungen

Schriftenreihe der TMF - Band 16

Trotz des anhaltenden politischen, gesellschaftlichen, wirtschaftlichen und kulturellen Interesses durchdringen die Potenziale von Big Data kaum die aktuellen Strukturen und Prozesse der Gesundheitsversor…

lieferbar ab 15.2.2026.

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Paul Koglin
Data Mining: Meine Nacht mit Steve

"Ich schürfe in meiner Fantasie". Damit beschreibt der Autor die Kurzgeschichten in dieser Anthologie. Paul Koglin behandelt hochaktuelle und gesellschaftskritische Themen. Nach seinem Debütroma…

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Tomorrow's Data Empowered Project Management

Project management (PM) has been an essential area that deals with various decision-making problems. It offers various opportunities to conduct academic studies, formulate new models to solve business pro…

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Conceptions of Data Protection and Privacy

This open access book offers a clear and concise overview of leading conceptions of data protection and privacy, exploring their social value through philosophical theorisations and European and US-Americ…

lieferbar ab 5.2.2026.

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Wilma A. Bainbridge
Big Data in the Psychological Sciences

Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. Th…

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

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Carsten Giebe
Big Data Analytics als elementares Kundenbindungsinstrument für Banken

Die vorliegenden Untersuchungen schließen nicht nur eine bestehende Lücke in der akademischen Diskussion zu Big Data Analytics im deutschen Bankwesen, sondern tragen auch zu praktischem Wissen aus verschi…

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Joyce Weiner
Why AI/Data Science Projects Fail

This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Dat…

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Challenges and Algorithms for Knowledge Discovery from Data

Arno Siebes graduated in Mathematics from Utrecht University in 1983. He joined CWI in Amsterdam in 1985, and obtained his Ph.D. in 1990 from Twente University. In 2000, he joined Utrecht University, wher…

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Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Homomorphic Encryption for Data Science (HE4DS)

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The author…

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Fidelia Cascini
Secondary Use of Electronic Health Data

This open access book provides an in-depth overview of the characteristics, significance, backgrounds and limits of the most relevant electronic health data categories used at a global level for secondary…

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Gary Archer, Judith Kahrer, Michal Trojanowski
Cloud Native Data Security with OAuth

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to acces…

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Data, Security, and Trust in Smart Cities

This book provides a comprehensive perspective on issues related to the trustworthiness of information in the emerging "Smart City." Interrelated topics associated with the veracity of informati…

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

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Advances in the Theory and Practice of Data Envelopment Analysis

This book presents selected proceedings from the International Conference on Data Envelopment Analysis (DEA 2024), held from November 18--21, 2024, at the Birla Institute of Management Technology (BIMTECH…

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Éric Brian
Are Statistics Only Made of Data?

This book examines several epistemological regimes in studies of numerical data over the last four centuries. It distinguishes these regimes and mobilises questions present in the philosophy of science, s…

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Monia Lupparelli, Giovanni Maria Marchetti, Claudia Tarantola
Regression Graph Models for Categorical Data

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of cat…

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Feng Qian, Shengli Pan, Gulan Zhang
Tensor Computation for Seismic Data Processing

This book aims to provide a comprehensive understanding of tensor computation and its applications in seismic data analysis, exclusively catering to seasoned researchers, graduate students, and industrial…

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Philip Laue, Judith Nink, Sascha Kremer
European Data Protection Law in Practice

Beck international

The Book This guide explains European data protection law for practitioners, giving the users the necessary guidance to remain up-to-date and assess the consequences. The book features multiple examples a…

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