Data-drivenManagement – Bücher, CDs, LPs und mehr, Seite 7

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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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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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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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

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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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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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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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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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G. Arockia Sahaya Sheela
LAB MANUAL - C++ & DATA STRUCTURES

The C++ and Data Structures Lab Manual is a comprehensive guide designed to help students develop a strong foundation in both programming and efficient data management. The manual begins with basic C++ co…

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Intelligent Computing and Big Data Analytics

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15-16, 2024.The …

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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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Andrew J. Kurdila, Andrea L'Afflitto, John A. Burns
Data-Driven, Nonparametric, Adaptive Control Theory

Data-Driven, Nonparametric, Adaptive Control Theory introduces a novel approach to the control of deterministic, nonlinear ordinary differential equations affected by uncertainties. The methods proposed e…

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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 Andre Barroso, Parthasarathy Ranganathan, Urs Holzle
The Data Center as a Computer

Warehouse-scale computers (WSCs) power cloud computing and all the great web services we use daily, including recent advancements in Artificial Intelligence/Machine Learning (AI/ML). This book examines ho…

lieferbar ab 6.1.2026.

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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.

Buch

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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