Opening book details…
Can I read Data Science and Predictive Analytics : Biomedical and Health Applications Using R on EtoBox?
Data Science and Predictive Analytics : Biomedical and Health Applications Using R by Ivo D. Dinov is a nonfiction available to read on EtoBox.
What is Data Science and Predictive Analytics : Biomedical and Health Applications Using R about?
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. Complementary to the enormous challenges related to handling, interrogating, and understanding massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The topics covered in Data Sci
Who reads Data Science and Predictive Analytics : Biomedical and Health Applications Using R?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ivo D. Dinov
- Publisher
- Springer International Publishing AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031174827
- Category
- nonfiction
- Subjects
- Science, Medical, Computer Science
Other editions & translations
More by Ivo D. Dinov
Browse all works by Ivo D. Dinov
Similar books
- Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python Modeling Techniques In Predictive Analytics With R And Python — Miller, Thomas W. (author.) (2015)
- Computational Learning Approaches to Data Analytics in Biomedical Applications — Donald Wunsch, Tayo Obafemi-Ajayi, Gayla Olbricht, Khalid Al-Jabery (2019)
- Predictive Analytics Using Statistics and Big Data : concepts and modeling — Dharmendra Singh Rajput, Arvind Pandey, Krishna Kumar Mohbey (2020)
- Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics: Concepts, Methodologies, Tools and Applications (Advances in Intelligent and Scientific Computing) — Sunil Kumar Dhal , Srinivas Prasad , Sudhir Kumar Mohapatra , Subhendu Kumar Pani (2022)
- Advanced Analytics with R and Tableau : Leverage the Power of Advanced Analytics and Predictive Modeling in Tableau Using the Statistical Powers of R — Stirrup, Jen & Ramos, Ruben Oliva (2017)
- Practical Big Data Analytics : Hands-on Techniques to Implement Enterprise Analytics and Machine Learning Using Hadoop, Spark, NoSQL and R — Nataraj Dasgupta (2018)