| 书目名称 | Data Science and Predictive Analytics | | 副标题 | Biomedical and Healt | | 编辑 | Ivo D. Dinov | | 视频video | | | 概述 | A novel transdisciplinary treatise of predictive health analytics.Complete and self-contained treatment of the theory, experimental modeling, system development, and validation of predictive health an | | 图书封面 |  | | 描述 | 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 trainingenvironments 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 pi | | 出版日期 | Textbook 20181st edition | | 关键词 | big data; R; statistical computing; predictive analytics; data science; health analytics; machine learning | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-72347-1 | | isbn_softcover | 978-3-030-10187-9 | | isbn_ebook | 978-3-319-72347-1 | | copyright | Ivo D. Dinov 2018 |
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发表于 2025-3-21 19:26:10
