9783032320087 - navigating complexity: statistical methods, data analysis, and machine learning for actionable insights (studies in classification, data analysis, and knowledge organization) (3 Ergebnisse)
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14 16 July 2026 in Milan, Italy. Reflecting the volume s motto, Navigating Com…plexity Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract actionable insights from intricate data. The topics span a wide range of areas within statistics, machine learning, and data science, including model-based clustering, Bayesian methods, anomaly detection, and predictive modeling. Novel and tailored models are proposed for complex data types, such as mixed-type, compositional, and functional data. Furthermore, advanced statistical concepts and cutting-edge artificial intelligence techniques are explored, underscoring the interdisciplinary effort required to address complex challenges in today s data-driven landscape.Founded in 1985, the International Federation of Classification Societies (IFCS) and its biennial conference are dedicated to promoting mutual communication, cooperation, and the interchange of views among those interested in the scientific principles, numerical methods, and practice of data science, data analysis, and classification.
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Taschenbuch. Zustand: Neu. Navigating Complexity | Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights | Paula Brito (u. a.) | Taschenbuch | xii | Englisch | 2026 | Springer | EAN 9783032320087 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot…]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Zustand: Brand New. 316 pages. 6.14x0.67x9.21 inches. In Stock.
