Data-drivenModelsforOccupationalHealthAssessment – Bücher, CDs, LPs und mehr, Seite 9

Shishir Kumar Shandilya, Agni Datta, Yash Kartik, Atulya Nagar
Digital Resilience: Navigating Disruption and Safeguarding Data Privacy

This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data …

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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

Studies in Classification, Data Analysis, and Knowledge Organization

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15--…

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Ashis Sengupta, Kunio Shimizu
Probability Distributions for Directional Data on Smooth Manifolds

Wiley Series in Probability and Statistics

This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then…

lieferbar ab 30.11.2026.

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Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

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Optimization, Discrete Mathematics and Applications to Data Sciences

Springer Optimization and Its Applications - Band 220

This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences. Through a collection of high-quality p…

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Accelerating Discoveries in Data Science and Artificial Intelligence I

Springer Proceedings in Mathematics & Statistics - Band 421

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Ac…

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Denis Krutikov
Data Science und Machine Learning für alle

Die Begriffe Machine Learning, künstliche Intelligenz und Data Science sind inzwischen so allgegenwärtig in den Medien, in der Politik und in Unternehmen, dass in nahezu allen Bevölkerungs- und Berufsgrup…

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Universality of semantic frames and language specific Bulgarian data

Frame-Based Approaches to Semantics 1

The book Universality of semantic frames and language specific Bulgarian data is devoted to the principles of data organisation in the Bulgarian FrameNet, which has been in development for more than 20 ye…

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Applied Computational Intelligence, Informatics and Big Data

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Band 616

This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 2…

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Wolfgang Wahl,
Applied Nuclear Data, Volume 2 - Energy and Isotope Tables

The book serves as a supplementary compendium to "Applied Nuclear Data, Volume 1 - Radionuclide Handbook." It presents a separate, comprehensive list of energies and isotopes covering as many ra…

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Engineering and Management of Data Science, Analytics, and AI/ML Projects

This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers---academi…

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Theresa Payton, Ted Claypoole
Privacy in the Age of Big Data

The average person provides their personal information to outsiders more than any other time in history. Corporations, governments and even our neighbors can know where we are, who we meet, and can quickl…

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Data-Centric Business and Applications

This book presents real-world applications across sectors, focusing on economic security, energy transitions, digital agriculture, ESG reporting, and investment strategies---all informed by the Ukrainian …

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Axel Bohmann, Julia Müller, Mirka Honkanen
Linguistic Data Science and the English Passive

The choice between BE and GET as auxiliary verbs, as in "She was promoted" vs "She got promoted", is a central,grammatical feature, yet the many proposed nuances conditioning this phen…

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Big Data und KI bei der Polizei

Die Verarbeitung großer Datenmengen zum Zweck der Informationsgewinnung ist zentraler Bestandteil sicherheitsbehördlicher Tätigkeit im Rahmen der Gefahrenabwehr und der Strafverfolgung. In der Folge ist i…

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Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

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Martin Kleppmann, Chris Riccomini
Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's a…

lieferbar in mind. 4 Wochen

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Andrew Guthrie Ferguson
Your Data Will Be Used Against You

Interrogates how digital self-surveillance can be turned against us by police, prosecutors, and political whimsFor consumers living in a digitally-connected world, smart technologies have built an inescap…

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Andrei P. Kirilenko
Practical Data Mining with AI for Social Scientists

Springer Texts in Social Sciences

This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical…

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Data-Centric Business and Applications

This book explores the intersection of digital technologies and societal challenges---ranging from post-war reconstruction and smart city planning to human capital development, machine learning, and the f…

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