About: Data Science and Predictive Analytics

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The textbook Data Science and Predictive Analytics: Biomedical and Health Applications using R, authored by , was published in August 2018 by Springer. This textbook covers some of the mathematical foundations, computational techniques, and artificial intelligence approaches used in data science research and applications.

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dbo:abstract	The textbook Data Science and Predictive Analytics: Biomedical and Health Applications using R, authored by , was published in August 2018 by Springer. This textbook covers some of the mathematical foundations, computational techniques, and artificial intelligence approaches used in data science research and applications. Using the statistical computing platform R and a broad range of biomedical case-studies, the 23 chapters of the book provide explicit examples of importing, exporting, processing, modeling, visualizing, and interpreting large, multivariate, incomplete, heterogeneous, longitudinal, and incomplete datasets (big data). (en)
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rdfs:comment	The textbook Data Science and Predictive Analytics: Biomedical and Health Applications using R, authored by , was published in August 2018 by Springer. This textbook covers some of the mathematical foundations, computational techniques, and artificial intelligence approaches used in data science research and applications. (en)
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