Artificial intelligence data decision making (46 Ergebnisse)

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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Taschenbuch. Zustand: Neu. Beginning Azure Cognitive Services | Data-Driven Decision Making Through Artificial Intelligence | Alicia Moniz (u. a.) | Taschenbuch | xxii | Englisch | 2021 | Apress | EAN 9781484271759 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. Neuware - This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.This book: - Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing - Presents a comparative analysis of machine learning algorithms for power consumption prediction - Discusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment - Illustrates a data-driven optimization concept for modeling environmental and economic sustainability - Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.…

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Buch. Zustand: Neu. Neuware - In this era of transition from traditional, people-centric Human Resources (HR) to data-driven and unbiased approaches, this collection not only highlights the revolutionary potential of Artificial Intelligence (AI) but also addresses the challenges and ethical considerations of AI deployment in the workplace. Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth explores the transformative role of artificial intelligence in reshaping HR, recruitment, and organisational culture. As AI becomes increasingly embedded in organisational systems, it offers unprecedented opportunities to enhance HR operations--from advanced analytics that predict employee behaviours and trends, to optimising structures that foster innovation and growth. By providing a comprehensive overview of AI's impact on HR, this insightful volume offers HR leaders, C-suite executives, organisational strategists, and academics the tools to harness data-driven decision-making for organisational growth in a rapidly changing world.…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the first volume of proceedings from the 19th International Conference on Wirtschaftsinformatik held in Würzburg, Germany, in 2024.In the context of the global trend toward digitalization, it presents the results of innovative, high-quality research in the field of information systems and digital transformation. The book covers a broad range of topics, including business analytics, artificial intelligence, data science and decision making, each of which has and will continue to have significant impacts on companies, individuals and societies alike.…

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Hardcover. Zustand: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock.

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Taschenbuch. Zustand: Neu. Data Science, Classification, and Artificial Intelligence for Modeling Decision Making | Javier Trejos (u. a.) | Taschenbuch | Studies in Classification, Data Analysis, and Knowledge Organization | xii | Englisch | 2025 | Springer | EAN 9783031858697 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 19, 2024. Covering a wide range of topics, it describes modern methods and real-world applications in data science, classification, and artificial intelligence related to modeling decision making.Numerous novel techniques and innovative applications are investigated, such as anomaly detection in public procurement processes, multivariate functional data clustering, air pollution prediction, benchmark generation for probabilistic planning, recommendation systems based on symbolic data analysis, and methods for clustering mixed-type data. Advanced statistical concepts are explored, including Vapnik-Chervonenkis dimensionality, Riemannian statistics, hypothesis testing for interval-valued data, and mixed models. Furthermore, machine learning techniques are applied to predict soil bacterial and fungal communities, classify electoral behavior and political competition, and assess corrosion degradation in mining pipelines.The diversity of topics discussed in this collection reflects the ongoing advancement and interdisciplinary nature of statistical and data science research, as well as its application across various fields and sectors. These studies contribute to the development of robust methodologies and efficient computational tools to address complex challenges in the era of big data. The book is intended for researchers and practitioners seeking the latest developments and applications in the field of data science and classification. …

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