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Data Science and Predictive Analytics

Biomedical and Health Applications using R

Produktform: E-Buch Text Elektronisches Buch in proprietärem

This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown notebooks. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-031-17483-4 / 978-3031174834 / 9783031174834

Verlag: Springer International Publishing

Erscheinungsdatum: 16.02.2023

Seiten: 918

Auflage: 2

Autor(en): Ivo D. Dinov

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