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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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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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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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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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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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Kamila Miller
Data-Driven Marketing Strategy

The comprehensive undergraduate guide to designing creative, data-driven marketing strategies.Data-Driven Marketing Strategy gives upper-level undergraduate students a comprehensive framework for turning …

lieferbar ab 24.2.2026.

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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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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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Thomas W. Macfarland
Introduction to Data Science in Biostatistics

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses the many professional skills and competencies…

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Data-Driven Modeling

Equip yourself with the essentials of informed decision-making with this practical guide to mastering data-driven modeling and extracting actionable, meaningful patterns from the vast sea of modern data.I…

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The Cambridge Handbook of Behavioural Data Science

The Cambridge Handbook of Behavioural Data Science offers an essential exploration of how behavioural science and data science converge to study, predict, and explain human, algorithmic, and systemic beha…

lieferbar ab 30.4.2026.

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Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan
The Data Center as a Computer

Acknowlegements.- Introduction.- Workloads and Software Infrastructure.- WSC Hardware Building Blocks.- Data Center Basics: Building, Power, and Cooling.- Energy and Power Efficiency.- Modeling Costs.- De…

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Eleni Kosta, Irene Kamara
Data Retention in Europe and Beyond

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Africa Data, Artificial Intelligence and Innovations

This volume constitutes the proceedings of 1st International Conference on Africa Data, Artificial Intelligence and Innovations, AFRI2 2025, in Koudougou, Burkina Faso, during February 27--28, 2025.The 14…

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Tomaso Aste
Probabilistic Data-Driven Modeling

"This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation …

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Arshad Khan
Data Ethics in the Age of AI

In a world increasingly shaped by data and artificial intelligence, the ethical challenges surrounding data use have never been more critical. Data Ethics in the Age of AI provides a compelling exploratio…

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Mistale Taylor
Transatlantic Jurisdictional Conflicts in Data Protection Law

This book looks at transatlantic jurisdictional conflicts in data protection law and how the fundamental right to data protection conditions the EU's exercise of extraterritorial jurisdiction. Governments…

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Data Protection and Digital Sovereignty Post-Brexit

One of the promises of Brexit was to allow the UK to regain its legislative sovereignty from the EU. However, after Brexit, UK data protection law must remain in line with EU standards in order not to los…

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Benjamin E. Schlegel
Data Science for the Social Sciences

Springer Texts in Political Science and International Relations

This textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated s…

lieferbar ab 15.3.2026.

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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