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

Applied Machine Learning and Data Analytics

Communications in Computer and Information Science - Band 2636

This book constitutes the revised selected papers of the 7th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2024, held in Shamshabad, India, during December 20--21, 2024.Th…

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Africa Data, Artificial Intelligence and Innovations

Communications in Computer and Information Science - Band 2536

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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Kevin J Grimm
Categorical Data Analysis with Structural Equation Models

**Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly.**Providing needed skills…

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Data-Intensive Radio Astronomy

Radio astronomy is irreversibly moving towards the exabyte era. In the advent of all-sky radio observations, efficient tools and methods to manage the large data volume generated have become imperative.Th…

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

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…

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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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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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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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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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Regina Stodden
Automatic German Text Simplification: Data, Evaluation, and Models

Texts written in simplified language are essential for accessible communication. However, manually writing accessible texts or simplifying difficult-to-read texts into accessible language is very time-con…

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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

We have a global privacy problem. 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 w…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Data Protection, Privacy and Artificial Intelligence, Volume 17

This book examines the discourse and developments surrounding privacy and data protection in the digital realm, featuring papers and discussions from the 2024 CPDP.ai international conference.The question…

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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…

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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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