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Data Science and Predictive Analytics : Biomedical and Health Applications Using R by Dinov, Ivo D. is a nonfiction available to read on EtoBox.

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Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human experiences. Our ability to manage, understand, interrogate, and interpret such extremely large, multisource, heterogeneous, incomplete, multiscale, and incongruent data has not kept pace with the rapid increase of the volume, complexity and proliferation of the deluge of digital information. There are three reasons for this shortfall. First, the volume of data is increasing much faster than the corresponding rise of our computational processing power (Kryder’s law > Moore’s law). Second, traditional discipline-bounds inhibit expeditious progress. Third, our education and training activities have fallen behind the accelerated trend of scientific, information, and communication advances. There are very few rigorous instructional resources, interactive learning materials, and dynamic training environments that support active data science learning. The textbook balances the mathematical foundations with dexterous demonstrations and examples of data, tools, modules and workflows that serve as p

Who reads Data Science and Predictive Analytics : Biomedical and Health Applications Using R?

Author

Dinov, Ivo D.

Publisher

Springer International Publishing

Published

2018

Language

EN

ISBN

9783319723488

Category

nonfiction

Subjects

Management, Computer Science, Medical