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

Feng Qian, Gulan Zhang, Shengli Pan
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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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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Michael Sullivan
Statistics: Informed Decisions Using Data, Global Edition

Statistics: Informed Decisions Using Data helps you see the bigger picture and make informed choices for real-life situations such as buying a car, investing money, and choosing a place to live. It offers…

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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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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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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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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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Allon Adir, Ehud Aharoni, Omri Soceanu, 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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Computational Intelligence in Data Science

.- Computer Vision for Real World Applications..- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid..- Efficient Medicinal Plant Leaf Classification Using MobileNet…

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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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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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Neha Mishra
International Trade Law and Global Data Governance

This open access bookexamines how international trade agreements apply to domestic regulations on cross-border data flows and then proposes a multilayered framework to align international trade law with e…

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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 30.1.2026.

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

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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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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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…

lieferbar ab 22.1.2026.

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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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Information Management and Big Data

This book constitutes the proceedings of the 11th Annual International Conference on Information Management and Big Data, SIMBig 2024, held in Ilo, Peru, during November 20--22, 2024.The 27 full papers an…

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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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