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

Data-Driven Modeling

In an era defined by data, the ability to transform raw information into actionable insights is a skill set that transcends industries and disciplines. This book is a comprehensive guide designed to unrav…

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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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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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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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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 …

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Information Management and Big Data

Machine Learning and Deep Learning.- Preserving Hidden Hierarchical Structure: Poincaré Distance for Enhanced Genomic Sequence Analysis.- EPIC: Enhancing Privacy through Iterative Collaboration.- DWFL: En…

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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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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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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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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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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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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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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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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 28.1.2026.

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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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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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Buch

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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